{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "\n", " \n", " \n", " \n", "
\n", " Run in Google Colab\n", " \n", " View on Github\n", " \n", " View raw on Github\n", "
" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "ox6BA2ofV_3p" }, "source": [ "# Module 2: John Snow's map\n", "\n", "Follow the contents of this notebook and answer all questions (e.g. **Q1: ...**)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "msQ8IFvWV_3x" }, "source": [ "## Jupyter + Pandas = Awesomeness" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "-hLwyxsUV_3x" }, "source": [ "[Jupyter notebook (lab)](http://jupyter.org) and [Pandas](http://pandas.pydata.org) may be the two most important libraries responsible for the `Python`'s rise in data science. `Jupyter` lets you interactively explore datasets and code; `Pandas` lets you handle tabular datasets with superb speed and convenience. And they work so well together! In many cases, `Jupyter` and `Pandas` are all you need to load, clean, transform, visualize, and understand a dataset.\n", "\n", "If you are not familiar with `Pandas`, you may want to follow their official tutorial called [10 Minutes to pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html) now or in the near future. " ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "nTR20eiSV_3y" }, "source": [ "## Importing pandas\n", "\n", "The convention for importing `pandas` is the following" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "execution": { "iopub.execute_input": "2020-05-17T21:06:39.071Z", "iopub.status.busy": "2020-05-17T21:06:39.054Z", "iopub.status.idle": "2020-05-17T21:06:39.826Z", "shell.execute_reply": "2020-05-17T21:06:39.848Z" }, "executionInfo": { "elapsed": 356, "status": "ok", "timestamp": 1684852724501, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "rVXgfGBcV_3y" }, "outputs": [], "source": [ "import pandas as pd" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "SI0DKpp3V_3z" }, "source": [ "You can check the version of the library. Because pandas is fast-evolving library, you want to make sure that you have the up-to-date version of the library. " ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 36 }, "execution": { "iopub.execute_input": "2020-05-17T21:06:41.885Z", "iopub.status.busy": "2020-05-17T21:06:41.867Z", "iopub.status.idle": "2020-05-17T21:06:41.919Z", "shell.execute_reply": "2020-05-17T21:06:41.935Z" }, "executionInfo": { "elapsed": 575, "status": "ok", "timestamp": 1684852729059, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "BySTPnrkV_3z", "outputId": "f2717ef8-413e-4295-9eb9-1c0b46c9c08e" }, "outputs": [ { "data": { "text/plain": [ "'2.1.1'" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.__version__" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "O_VHaBeJV_30" }, "source": [ "You also need `matplotlib`, which is used by `pandas` to plot figures. The following is the most common convention to import `matplotlib` library. " ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "execution": { "iopub.execute_input": "2020-05-17T21:06:43.626Z", "iopub.status.busy": "2020-05-17T21:06:43.613Z", "iopub.status.idle": "2020-05-17T21:06:43.889Z", "shell.execute_reply": "2020-05-17T21:06:43.910Z" }, "executionInfo": { "elapsed": 4, "status": "ok", "timestamp": 1684852730215, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "DYL0_pF_V_31" }, "outputs": [], "source": [ "import matplotlib.pyplot as plt" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "6XjKV55tV_31" }, "source": [ "Let's check its version too. " ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 36 }, "execution": { "iopub.execute_input": "2020-05-17T21:06:45.160Z", "iopub.status.busy": "2020-05-17T21:06:45.146Z", "iopub.status.idle": "2020-05-17T21:06:45.187Z", "shell.execute_reply": "2020-05-17T21:06:45.201Z" }, "executionInfo": { "elapsed": 6, "status": "ok", "timestamp": 1684852731736, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "R-tadeEdV_31", "outputId": "e53b2b48-806b-42d1-b997-c1fadc5d7d7d" }, "outputs": [ { "data": { "text/plain": [ "'3.8.0'" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import matplotlib\n", "matplotlib.__version__" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "QMUK2TQiV_32" }, "source": [ "## Loading a CSV data file\n", "\n", "Using pandas, you can read tabular data files in [many formats and through many protocols](https://pandas.pydata.org/pandas-docs/stable/io.html). Pandas supports not only flat files such as `.csv`, but also various other formats including clipboard, Excel, JSON, HTML, Feather, Parquet, SQL, Google BigQuery, and so on. Moreover, you can pass a local file path or a URL. If it's on Amazon S3, just pass a url like `s3://path/to/file.csv`. If it's on a webpage, then just use `https://some/url.csv`. \n", "\n", "Let's load a dataset about the location of pumps in the John Snow's map. You can download the file to your computer and try to load it using the local path too. " ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "execution": { "iopub.execute_input": "2020-05-17T21:06:46.182Z", "iopub.status.busy": "2020-05-17T21:06:46.167Z", "iopub.status.idle": "2020-05-17T21:06:46.474Z", "shell.execute_reply": "2020-05-17T21:06:46.486Z" }, "executionInfo": { "elapsed": 176, "status": "ok", "timestamp": 1684852732339, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "dGK4SkbHV_32" }, "outputs": [], "source": [ "pump_df = pd.read_csv('https://raw.githubusercontent.com/yy/dviz-course/master/data/pumps.csv')" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "ETf0JhXDV_32" }, "source": [ "`df` stands for \"[Data Frame](https://pandas.pydata.org/pandas-docs/stable/dsintro.html#dataframe)\", which is a fundamental data object in Pandas. You can take a look at the dataset by looking at the first few lines." ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "execution": { "iopub.execute_input": "2020-05-17T21:06:47.628Z", "iopub.status.busy": "2020-05-17T21:06:47.618Z", "iopub.status.idle": "2020-05-17T21:06:47.654Z", "shell.execute_reply": "2020-05-17T21:06:47.667Z" }, "executionInfo": { "elapsed": 8, "status": "ok", "timestamp": 1684852732525, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "zGYO51jUV_32", "outputId": "db2760ce-83b1-4b0f-a1f9-e109f52d4227" }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " X Y\n", "12 8.999440 5.101023\n", "2 13.378190 17.394541\n", "7 10.660970 7.428647\n", "10 18.914391 9.737819\n", "0 8.651201 17.891600" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pump_df.sample(5)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "InRQ69SmV_34" }, "source": [ "You can also figure out the number of rows in the dataset by running " ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "execution": { "iopub.execute_input": "2020-05-17T21:07:19.267Z", "iopub.status.busy": "2020-05-17T21:07:19.255Z", "iopub.status.idle": "2020-05-17T21:07:19.295Z", "shell.execute_reply": "2020-05-17T21:07:19.308Z" }, "executionInfo": { "elapsed": 8, "status": "ok", "timestamp": 1684852738371, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "-VPiKjlfV_34", "outputId": "19d6a2e8-0039-489c-9c4b-6879a47a5af2" }, "outputs": [ { "data": { "text/plain": [ "13" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(pump_df)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "M-W9EAIqV_34" }, "source": [ "Note that `df.size` does not give you the number of rows. It tells you the number of elements. " ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 7, "status": "ok", "timestamp": 1684852738371, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "l-4RoaWiV_35", "outputId": "f09f8409-b518-49ec-b6aa-1f6415aa2590" }, "outputs": [ { "data": { "text/plain": [ "26" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pump_df.size" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "QUzqWROJV_35" }, "source": [ "You can also look into the shape of the dataset as well as what are the columns in the dataset. " ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 5, "status": "ok", "timestamp": 1684852738560, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "Sva1ViTpV_35", "outputId": "caad0b5a-78cd-40a6-e9fa-3aad2388b82e" }, "outputs": [ { "data": { "text/plain": [ "(13, 2)" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pump_df.shape # 13 rows and 2 columns" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 2, "status": "ok", "timestamp": 1684852738890, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "d79EmD74V_36", "outputId": "386a787c-2235-4615-8ccf-7af4c73e1a26" }, "outputs": [ { "data": { "text/plain": [ "Index(['X', 'Y'], dtype='object')" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pump_df.columns" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "ymyvkdS6V_36" }, "source": [ "You can also check out basic descriptive statistics of the whole dataset by using `describe()` method. " ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 300 }, "executionInfo": { "elapsed": 10, "status": "ok", "timestamp": 1684852739221, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "fyY-fYaWV_36", "outputId": "1200a97d-417c-487b-f3ed-abe9431e8319" }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " X Y\n", "2 13.378190 17.394541\n", "3 14.879830 17.809919\n", "8 13.521460 7.958250\n", "9 16.434891 9.252130\n", "10 18.914391 9.737819\n", "11 16.005110 5.046838" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pump_df[pump_df.X > 13]" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "HqcwcbD1V_38" }, "source": [ "Now let's load another CSV file that documents the cholera deaths. The URL is https://raw.githubusercontent.com/yy/dviz-course/master/data/deaths.csv\n", "\n", "**Q2: load the death dataset and inspect it**\n", "\n", "1. **load this dataset as `death_df`.**\n", "2. **show the first 2 rows.**\n", "3. **show the total number of rows.**" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "executionInfo": { "elapsed": 8, "status": "ok", "timestamp": 1684852741344, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "etpbYVYWV_38" }, "outputs": [], "source": [ "# YOUR SOLUTION HERE" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
XY
013.58801011.09560
19.87812412.55918
\n", "
" ], "text/plain": [ " X Y\n", "0 13.588010 11.09560\n", "1 9.878124 12.55918" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# YOUR SOLUTION HERE" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "578" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# YOUR SOLUTION HERE" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "kAC-DH-hV_39" }, "source": [ "## Some visualizations?\n", "\n", "Let's visualize them! Pandas actually provides [a nice visualization interface](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.plot.html) that uses [matplotlib](https://matplotlib.org) under the hood. You can do many basic plots without learning `matplotlib`. So let's try. " ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 448 }, "executionInfo": { "elapsed": 367, "status": "ok", "timestamp": 1684852743183, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "ph6kECE5V_39", "outputId": "e4523db1-b57a-4eaa-e2c2-a413f94b9efd" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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46qEXcfwl89pqw5/veQEA8NPrn2rrPKMF9F2vB4Fxv/f8/DZc//gynH3T0wWvUJxB2Zjz7lNL1+OdP70VbzvtPxvvom2AzgFjZWwpDRQNQk2kynCjNgwMisAEdfzs+nsT2CwUYbwZBQzK1f8HXHQoEJoH1+HGqr4hHHPhvbj20aUj1obxgE50t4Urx0cVdVfQcXLIwqCsj43Dws+gBVH9xjRQbns6quZME3uOZjRLBuWVgZHQoBRlUFzaNRzh0nk5YqwGinimTjSnPdx/EbDwNuCFu0asCaf9+0nc/NQKfO7i+0esDSU2LsZKkqw80LFg2EWyhvFi+fpBfJ9k4X6l3NvhgCCSHSMzf+FmzpkzB4cddhhmzJgBxhiuuOIKZZ8nnngChx9+OKZMmYIJEybgTW96E1544YVOtHejYCSiYburw8CgUBdPh8aPPA1KYL1ho1QkO4IMyso+d9FkOfi2jlZ6myy47NTtH0tPkXOO259eidX9de13CYZdJGsYL/7vL/PwuzsWpJ835r0da+8jXTyOlbYXnhX7+/uxxx574Nxzz9V+/+yzz2KfffbBzjvvjFtuuQUPP/wwvv3tb6O7u7vtxm4sDEcNm7zrtKJBeX5VPy649Vmjf12M4hltDMpowlhscwkZnHO8sGrAIN7OP/4/Ty7DuTc/k36Wi+F1akgfI3MDAODyB5fgo7+9BwefOUf5jr7qH/rV3XhxzQas7BvCX+99AQP1Trg98hmUBxeJeU825sQ71iKG7IvH0YnCtXhmz56N2bNnG7//5je/iXe/+904/fTT02077LBDa60bIYTD4BrRYbCRrdy7WtCgHHzmHAw1Qyx6eQCnvG934TvOuTAoD0uitqIaFOFE7a+4nnhpHX495zkcd9BOmLlJb+snGsEXd7SsZDjnI9YWzjmeWd6HV28+sa2Ehefd+ixOv/YpHHvAjvjKwa8Vr+FghH7iornCZ8VA6dD9YWOIQ7n+sWUA9EyfPDae85+n8eALa/Dk0vV44IWXcfr792jv4g6aNflebkyjgV7K+f1pbACqPcPWJhvC4kFRI46O+hXCMMQ111yDnXbaCYcccgi22GILvOUtb9G6gRIMDQ1h3bp1wn8jjeHOJMs5x6q+IclAKc6gJMK0e55brXwn2wmd06Coqxq6yS6S7ayL5/Bf3I7LHlyCT/1+bv7OYxAby164+anlmPWDG3DD48s2zgUlXDDnORx05hx864pH2jrP6ddG0THn/OcZ9csWuhutNVNChe5Vf3LpegDAvx/phOg7n0GR35GNKf70iDVkEwmnePQfwA+nA/f8ahhbZcZYLOHSUQNl+fLl6Ovrw2mnnYZ3vetduP7663HEEUfgyCOPxK233qo95tRTT8WUKVPS/2bOnNnJJrWE4c6D8v1/Po69TrkRf79/cesnyWmXbCgMJ4NCO76dQSkeNmhDUv/jqWXrix/cQhKo4UCR4bSVofeppetx85PLrfscc+F9WDPQwKf/MDKG3pk3RPkx/nLvomG7RitPWGZQOoVRQpq1DdltPLm7qnzX1kTosKCRDZKR0qA4GSiXfiL6998nDFOL7AgCaqCMSBMKo+MMCgC8973vxXHHHYc999wTX//613HooYfi/PPP1x5z0kknYe3atel/ixYN3yDlimCY43MvvGMhgCiCI0Enc68EIVfON5waFCrGtfo5W0i8NGwY6etvJBxy1hwcc9F9ePzFkWcmTagNkyFA0cpEqbp4OtWasYMiv3lSd6YYSO62slAqtFJyYFAKnK3jGG6RcIcxHJrE4UZhDYoNm222GSqVCnbZZRdh++te9zrcfvvt2mO6urrQ1dXVyWa0DdHFs3EeZKeusm6wgYN/Ngd7zpwqbO9Yh9QsapyrJgu6k87d17arKY+Rl7UdPL18PXaZMXmkm6FFteIBozADvJybaDwaKDbIY8rErorynTwchJzDczUrHBgU+ZlszDeZVnAeao5cJKArNlbwRyfR0aVLrVbDm970Jjz1lJgpcf78+dh22207ealhxUgkamunx9CX9PIHlmDpukFc+9jwJP4Swozjv2kh06azBmWkVxyjxMUz3D6e9Dqjd3btNIOiO18r77GsQRlL4tZOwdZtXF51lcktcvX8neV+vTGZgQYZ+JxcPCOMcDwwKH19fXjmmUyEtmDBAsybNw+bbLIJttlmG5xwwgn40Ic+hH333Rf7778/rr32Wlx99dW45ZZbOtnuYYWgdt5Y1yzYYWQtSKIi7zOEHA9Hh0wHIericWVQRvoF4SPwkEcQo3lqrVY627ouTU6hVh5xxRseBmU0G4tFIL/CdHGSsquKFq7Ak2iBQdmYWQ6ogTImXDzDnVp8GFB46TJ37lzMmjULs2bNAgAcf/zxmDVrFk4++WQAwBFHHIHzzz8fp59+OnbffXf85je/wT/+8Q/ss88+nW35MGIk1M5rBhp4aa17MTLarsUvb8Bep9yIs26cb8yJYkrUdtezqwq1UwxdjhkUZ8t8eFiLlob7EWdw8lF0xc45Nxa0G8k5ce2GhtIvaf/ttBhVFxHXEoMyDOUngNFtLMqw9UGbzi1lV6V9Cj0HB5ew3LqNGZ1CjZKxwKAMR/HY4UbhN3C//faLc2yI/1100UXpPp/4xCfw9NNPY8OGDZg3bx7e+973drLNw46wDV/d/c+vLjzpA8Bdz63CW0/9D1YVyCyaYEMjwOr+Os668WmzgWLokHc9V9BA0Z2b3K9mYLljG5lBSdq1aPUAjvrtPZgzf4W+LWNlOZGDH17zBPY+7T/4/Z0LR7opKQbqTezxveux1yk3pNueeGkd9jrlRvwhrjDcaRePLitzK1qyqjc8ESKPv7QOD77wMoBo0hgLq28dZGOgKUyA8b/tMCgOmaflKJ6NOe/WqQalUWpQhgNjJCP/xoXIoLgf1wxC/Pd5d+HDv74baze0VoI7ySPQKvrr+hfF9DuKJojjmnvjzKBsxNDeax9dit2/ex1ufHwZvvL3h3Db0ytx9O/uJZcfLe4m92kvj1H5ze0LAACnXPO48t1I6SfmL4sqAw82wrTvfP0fD2N1fx0nX/kYgOFgUDqlQRmeRG1AVCEZAN599m3Y6wc3CDmROoHl6waxZkBNT99JyPdUDGM1i2QpFq0ewH0L1TxO6gVcXTwjo0GpB6PfyBTH6RFsSAGUBooGrRYLpCuItQOtGSjtoiiDUsRAuf/5l3H4L+5IP2ciWcKgOGtQOvdC6yaOz118P/rrAT71h7lYtm7Q3pZXGEYTe0tTniddQ25epyt5FykbMVBv4kMX3IXzbnlW+W64XDwUTy1bj/VDzbYXJhR9Q028+Uc3Yc/v35C/cx4KiGR1DEpePqa3n34zPnD+XfoweKdFhCySNbe30xBEso3o77UbGrjkvkUtL1CHE4JnYDQNEhaUBooGgpuiRU3XSPn8zSJZ/f5dBQbz/z7vTiwhGodE10KNn05lkh1sBHjXWXNw8pWP5rarfQ3KGInicYTu14xUf9xAGL2kb8gGpS1j66NL1mL/M27BNQ+/5HxNPYOif8YX3bkQ9yxYjR9f+6Ty3Zz5K/DbmJUChlc70slzL1zZn/49nBORvOjRvfvyPqb2PLx4jbrRRYMyShiURINy3N/m4cR/PIwv/vmBjdYOV5QunlcIWk11L1b67WCD0nPmn3Q4GRTTOalB1ymR7HWPLcWTS9fjD3c933L7rBgjK4hWoOsnIyXMHCAGStI3ZHvE5uL5zlWPYcHKfnwhZ8Cnq0Mdg2J62i+sGrCe9wf/JO6yDt9Esbps587rXHqi3etIn3XsqWtGay3zSgyUtQN13PnMSkXTYhLJnvLPx3HSZe2VTshDvZm1pR5E/fw/cdbm255e2fkLcg787Sjgn8e1dPi4T3X/SoEuXM4FG5NeNF1qwKRBMezfjkBRl+ugUyLZTr4/2nONGg2KGfKk5TqJjSYGRXTxRC2ThY02I9m1Hs5g01540/SIV6x3F6V3+hbSFXgrGqG1Aw2tdkV4H0OOGx9fhr/d90JrjbRAnuQCTaiga0ZrrSFF9j36d/fgI7+5B/94QCwPIvelkEf39Te3L8Bf7n0h1wBtBzoXTxE8tXQ9Trz0ISx+2bGNK54CnrgKmPu7wtcCJAZldA55CkoDRYNWNSjDnYHWpVOZXDwmi7kdSjQNM3YNXytwreGaUDnnuPbRpXhpLRkURlCPMhw/M7nN4jOPrvSjfz2BEy99aKOtoAY0Lh55UrGllJ85LatSbWMDqCvJVnhT/t0rCkTNdTp/SbMNBmXdYAN7fP967PUDVWdCf2HIOT71h7n42j8ewbMr+gq30dYs+V3XsSCyzWIaH/IYlGVxCoZ/PyomoFQyyXJxmMnL8HrvgtX4zW3PtfQ+tJuo7dBzbsMlcxfjC39+0O2AkOhaWmjvuAgzHg9o1dIsVmeiOFzObs6DUmDl4ohUCOdKKRcQyRapSlpkcL/64ZfwuYvvx+E/v825LWMVSpRFyPGrOc/hkrmLsWi1e86ddiC6eKJ/5edFDRTOuTApTp/Snf591UNLjDWFkmghEzg4/nDXQrz5RzfhaVJccuUIMijNNiI/Hl2yFoA+ak9mUBK8tEYjFm8Duv4lwzUPio59oe+l6d6rDAoXFodW0T6AD15wF0655glc10LmbRoe3kqoeFrsdGkLdbKu/hKwUlO124IRyZDeJkoDRYNWxUTD7eJx06DoVwymtrVnoETHDkcm2Y765MlTTHLUMCHHwivTQKEDEmPiIPrvR1/Cy/3DG4YKSC6eVCQr7kMNlKFmaGQqjvvbQ3g3NSxj9A818eFf351dR9O3OAdOvvIxrFg/lIY3A8UYlE6D1nIp3N+tRCV5H4exXoz8qmsNFMc8KFpbTTBQ3MapkPOWNDjPLC/OLtUFBqX1eytnLDaDdJIH/gBc9O5C16H3uAwzHsMQGZQWXTzD0AFcTmmKxy9Crc6ZvwLfufLR3NwMyb0JXA2UAiLZ4crbUYmTb3mgxtLoT7IEFF/By4+CGiin/vtJYVIfLlCD2aRBqZFU9/UgFH6nywSzgEStRNdR9xF7XvapYdNMSei027FJWIMijGEe6BBAx4PBFnQSNqgaFI2LR9Gg6M+lHZ80Bop8TZ2LhyKPQSm6H0WnavFUHHVWCvqWFdpdfD5jw0IpDRQNWk3UtjGLMRU9vWl/XTuP/t29+P1dzwshlvpjo3/p/XLPg2L/ATSJZ56RWMSY8VMDhZwzHJ0GSrtzlsCgABgKxN/ZydwbJlCXY2AwUOgKcqgRCr9bdhHosGi1KDLU9Re6KekDRV0snTaam+0wKJb9mwbxZiurfJvuRr7LWg2KbKAYxgetuJ4aKIZm6MKMndMe5F0/B2I14zYMFK/1fvWRX9/t/BvF+anlS25UlAaKBq26Pei7OJzF+VqBkUGxvJh5ojqdi0dkkaQ03g6ZIRPQgafdl0mXn8ZjXL/DRsZwRteILh7WsZTqz67ow5Xzljixi1S0nRAGyqoXdKAPhEnRRde1SIqCyDsiMZBcjB+KTj+rtrKPCt1X/B0Ncs/qxCjtdL2Y5NkkE6yLi6eYBoUaVPoDdVE8rbh4GqZiZbZjOlQs0NnFo+mAdz67Ki2bkIdmi56BkURpoGjQskh2mC3UdiKDWtGg5L10OgaFnu/ESx/Ga7/97yyMroBIlk5SzRYGDxOSwZQRF8/i1cPLJKzsGxKiTCiKrMqLTpD00TJ0ruLqO396K/7vr/Nw0xPLc/cVDBQDg0LbWW/KLh71nPLgKgt+9cZ4ti1hUDrYrVqCkD+ojbbIr3CjqXfrdLpeTHLdREM0nFE8Jg2KLg8K3dN17GiFQRGLBWrubX0AuPs84OWF1vP4bTAogLubUlxItnXJjYbSQNGg1TBjdy1GaxgWBqUNA4VrGBT6u/9+/2JwDlK8zp21oJNY7r0s8H57GhfPmdc/5X6Cgli+bhBvPOVGvPmHNw7bNUxQRLIFV+ycc1z2wGKjgPCpZfmG3frBzEDZ0AjwzPI+yOOxGBYaCs/eJHilSBiUN2+/SXyM2g7BxROff6RDLekKPGnLQL3pVpdHYBjF30En5XqbOgnbq5WMjUmuGh0LIrNUreZBcY3iicKMi4/DrYzXuXlQbvwucO3XgV/tp3x1xzNZIjd3DYp+P90cpetDYzGTbGWkGzAa0SqDMtwunuGArZ15E1qaByVnQEhPU8DFQyexVgRs5vOqBorHhm8pfc+CqBDaekP493BCJqmKMihXPfQijr/kIQDAwtPeA0A0Rqf11nLPQRmUD5x/F1b31zXCRuKSaEoaFIOuwSOD9eKXIwZlm016ce+C1bkalMRILe7iGb48KJxHq/BdTr4OVZ/hqR/MTtuphWWsoStq+sw3tMCg2H5yctmUQdGs5DuVSTYVyZKv1w02lLxPkQbFfH0TGi242+h91rZ//rXRvxtUF8z5t2a1n9rRoABQhtIzrnsKv7rtOVz2+b2x26umpNvLTLJjBEvXDuLvcxcZRWPNFi1NwcVj6O+dYlaKnqWQOC0GfWl1HTorCJZt0w366epwiIS1FggzDlqgX03IXDzEQBnG9UTenLbxNCjFDRRdlVlaBG1qbzX3HNS1tToOa5YfvcygCC4enbEhfU5Wi5O7o/ZoWRfq4olv+khHlzclBmXp2ihPSSPghdgueawxRZeYciS1iuQ+JwaKbmyTxw3TxKhnUMwunkYQ4vXfvR7LpTw2IYfQQTYWg6I1dhtuGWLbreYtN/0XNz+DejPEz296WtyvzCQ7NnDoObfhhEsf1lYwBVqv+kg7itml0vqo2J6LR7/9P08tN6ZaFn2s5jTWlNoNQo7+oSZ+dsN8Zb9la2miKPcfk8eg5M3xwuqZqQaKj3DYk+y1BiZ9KmbNyINmUQOl0VTvyUqSN8QlNNaFSSwqkjUVqUtcDVq9JXXxtMqgFNo7Hw3nGlb2xiguHgODokvq1g6SyyYuinZq8eQbKCJMJQqKJmpLUCTcPAG9t9p5Ysgtt4qzBsXwvpn6zpQecQEhMChjxMkzLg2UlX3RSi4p6DRv0RqcfePTaYeTGZTBRoC1A/nls4XwthaiZvLQnkhWf+xDi9Zgnx/fjEYQYt2g+BvrgthOHdySU8ram59eP1+w3tNrFxDJ0kmmk3oerYsHYXsRFRbkGhXDuJSR8/IMFfyNOtqbJjZzMd5dnp1dJGt319B9kpWonkHJ4FmiTmwYzjwoHOLvyr21lsWQKYHYQAsMikuqexuDIo+DpnuuHS+1eVCizyZjm0suHteFhzaKKAf0Pmt/V9MtW3OlTQZFdnsl2GSi6IIVUt2PkdyU41qD0l2NOsb7zr0DANBT8/CZfXdQBvZ9T78ZQ80Qd510AHpr5lvmwry0wwa0M5flTSYHnzkHC1b24/5vHZhuG8rxXye/V/b5PvriWnG/xD4pMALTAeueBauwfN0QPrnP9na/vAOS1R5N1OYhxGAj0FbBbRfWSe3yz+G7L9yG/+AUDCFfz1EUoiYKaBZlUDR9dVVf5qZzYSCcGBTZxZOTB8XEoCTPNuQcP7zmcew8fbL2Gombr6gfvuMGSiCOF7Q1hWqASY/VlAel0wxKFsVjNvhco3i0blyLi8eckFJ8rs4MSpsunnbWUO4alHwGRc4JRNFq8MdIYnwbKFJRsaeWRpQc7dTPLF+f+jmXrRvC9ptZDBSu/5vCKTnUmkXAyqeAHQ8UNrfTpfJeoCQb551xKnggPwtlpkERGRRlvzBZ/eTnNUi/JS/d//11HoCoLsthe8xQ9i0ycegYFB9hx3NEOOGhv2BLAAd4D+Lf4Vs6fnprThoHNDT7UxePCwPhsg8dLOtSqnu9i0e6hrSSv2/hy7hv4cvGa7ScB6XDTh7bBFdkwrOKZMk1aNmBzqA4g2K65XkiWRmmSCfZ0HNP1NaeSLYdF7F7mLHhGmQzNVAGpLInYrFA19aNLMaliyeBvGJOxkVK9yVuICAT15ngksHQ6YU5azfg4v8GnrnJuEvR1V8rUUVCBIClKJlSJVMZbBMDhbp47NfW3abnVvSrGwsiGQtEFw9vqVy6C1yGntBx4msnDwpHCxoUzaBNDRSXPpXX3zkXa6fUm6EQwaVbWCsMSpBMlG5RL176no/sKE0n5TDkwjtd5H1VDJSQMijZe2uq09UqkstU0jwoZp2a6XOCZMwVWVYzgzJgYIPkRG2u0TlFXe+NIBQXZm3Q29Z+6wBqktGcQPI9Eu59aaCMfnRV9T+fdry7n8sYhbxBwyXVfSEqcaFYGI2+vEX7l+tlabsFDYom4inNg5JDqSZjBBdcYNHGdYMNnH3j05p6Kup5GAOufXQp/vc3d2PZOvfKrPS++ZpEbR5CaxrwRhAWuh6Fi1GR1O8dqDfx3nPvwFk3zs85wg2yy7Gozka3PxUnuvix8/qdjpLPY1DkhXUyOdgyctKz+KmLx942GZ02aGwMSl6EkcASWESylBlshUGxhVYn72jN6uJxM1CaIcdZN87HG0+5UZvYUW6FKfFhVCywuIunaCqD1VKhTevhnj3azW+lWCC9NukrVIMiP2/6Ot+7cDWO/t29jtcdOYxrA0VmUHSiT9oR8wwUwedvCjMuYqlLNWLaGR5dGRcTPTyoZVCif/NcPOm1yYDD4xv0vasex5k3zschZ80RjjFNBp+7+H7c8cwqnPqvJ9Jt7dbi8cCthdTef96deMuPbsLDi9c4X6cIwvg1vOS+RXho0RqcdWMkMG5X8yBLfnQMiq1f6MLMX1yTGWq2VWMjCME5z53Um2EoaZgcRLLSm5BMLraVKP2drYpkO53bSNagFLmWLVeTKQV7pxmU5LK2TLJFonjmzF+BVf11PLI41rCRHybnQdExKB/1b8DM5beImWRdGZSCqlE5isjq4qlNUDZRw6/aposnMCwqZc2R3Kfo4nu0YtwZKPQByhqUBPSlEgaRnHO7MSg52VmFE0oGShvjo+uhTcPgphXJahgU3YuavEAihR2dO8m1IU+eWlE/2baOZCgtMpHrDBQ/h0F5KB4wL3tgifuFstbl7hHEr2Eew1HUYAmE+603UGwrR10iqhfXZBSyaVBeM1DHG35wA774lwdzqe8glFOTcweRrPQ5Fck6MigtZpLttIEiMyj07CGPsvjScH1TW2walKGcSLwiMBlRNg2K3DZbHpTkm/SZW108IjuwK1uAU6oX4pBHjpNcPMUXZi5YpTAoNgNlorKJ3gfnTLIm9snEmA3JDIp4fJ5kYTRg3BkotGN3Sy6e5HnRQbuuWUWa4OKTzFu1iX5CaUBpY3w0W/jS4EZ/e1NvrKTn1DAo+oqmyaXUe2kSiOVNBrUCoXn0TCz9V1yduYhkW3mfjccIIaax0dTCBRatHsBf733B8Hyoca138dh0KdRYTRiRJcRAMfXxyx9cgvWDTVzz8Eu54sGmpL2IBlt7mQM1tbs4UepAD0lr8RQ0ODru4pGiKuSoq+MveQg/v+lpbTE4eV/hvHSR0Waqe9M16eeqNQ+K+Nl0C2kG2PQ+kwWa/GbIxtZMtkI4VwL3WjzF7s1KiUFR+wb5XOtVjqdtdC4WaJgA6G8UXXp2BqXdGkAbA+MuiofSXmrK7ehfk6bCxZ+encvAoOS8CMJhioun9QHS1HYGnk6QQPaivtV7DD0YQhDOhu8x7eSW/EZFJCtfO43iUfczvSO69tLnVau0Zlsnp5UTtbmsLluJ4jAeQYxPk0jWZf58++k3AwDWbFDz9Ij3Wz9B2QyUOlmZNZocG+p14Rwu83UugxKIE3Mz5EKf0L0vJsbO5uKhfTRN1FZwvu4wgSJlkpU0ZuRvWe8AyDktJINNCDPO+lkrxSLpHZVLDCRtTCZYtXIxdxbJUkM1PY82D0r0rzz59oDk5yHbXZmRosbnqv7oerWKh3ozVPpGF8j7qHHx0CSIzoaCw6K3btEcyf1kDNgn449BoemeTfQ2pcyK1OURJgTDWJCnFqcv8Mv9G3DkL+/AnaSwVHYxe1ts56WQ07w3Aw6GEH+p/RC/q52BDWuXGduduXjI8SFXDKksUVtAN0bXN2VHzBkwuoiBUuQ9S85L86D4zC3MuH1NCF32Zv0wcfGogkT3h3zXs6o/WTaYdROUzWAWJrcgFPQngP0Z1dDAod5dmMbX2Zqt9JcgFPOg6NonGzQJbAwKPU/LDMowalDkGjLCOkVzWZuLp26g/OtBexmTTaHQ1Yo+iifkRaJ4MmPGZqAkUAwUlhlxKiOXj8Iunjgf0BaTugCofWMSSJK2qsZAIffKvVhg/nxFF5KyBkVuY7s5pTYGxrWBYnpZTS9RfhRP9rcxk2xe2CX5e86Ty/DAC2vwkd/cE33XxvhoYnRkA6UehKiCTEzrI42IPoQw+te2mhO+FwbV6BpFXDx0kykCKw/JKTzBxWPXoGT7FQc1OkR2jPTD+DXMHy+KtUCZuDQGis0w6ycrsHoQCu4dwLzq5Bw4rnIpflE7B5fUvm9tYxBywZhvBFxgqmyGsfy3LeEVfe/SPCgFJ+tOu3hW9otZeU1MpN7Npf8bMOvIgOIVrcVr6o2NROSpJIwLQw2rQv8WDYnkeL2BIkLWxPUgM55FA3aYRLJxuH1ioMj3ZgKzZ5Gl/do5UZvDnEIXFXKkk9xPSg3KKARVshsZlIKGi+775OXjnOP+51enRdbyfJ30pR2qi9RuO8OjaWylTAIQrTTptsT9o1thmKoZy66QzD6RonhuOBnHDZwD3S/TtZeutGt+a1lfk/N6jFCsCIU8KKv767jpiWXK4Gp7n59eth4H/PQWXDlPFNLKFHn2IZv8k3ssR68UMUh1baNjbsg56oFqhNkmLJroqdFUSyGY3gcO4D3e3QCAHb0XLa2OJgaRQRFFsrqwfDHqhzAoFrefyKDE7Sz4QnXaxXPBrc+lf4ehbHiB/G030uR+KkxYkoGiy/ezfrCB71/9eKR1+efxWP3nz2C/n9yMax9daq35k3yqGvKgNAM1ikvO0k1/gzKeCLHWMoMiui96qYuH7OrKjBTNg5IwKFtO7gagLswmEINJFzNO+6O769jEPuk1R/31psTqlwzKqAddFRoZFMvK0AZ6XNJPrn10Kf77vLtw6Dm3xdtzGBTytc/kyJboyw/5N2O/ly+1N0ZuW3ysbCDJBkoz4AKDwllioJip9nyRrDrghJwDd5yNQ+rXY3u2VDlGx0DR1WARDYpu1SZXM6YalPefdyc++fu5uOjOhcJ5bCLWr/3jYTy3oj/NeqttB/1A9EWcq+fV+bVt0LVMngx0DIqtpgl9Vxoa90AnolpkQ6wZcuG36LLZmvJcVC1iQ92EUNRlM5yJ3aL8HeRznq7LoFcB7MLYIY2R+tPr5+N3dyzAR375H2Dub7HJ/L9hYNUSfO7i+4XJU/75yXWrFT0j1Qx1GpSoPtAX/vQA/nLfC2TfUB1PWnXx0GKBzmHGxZ7tmoHoepvG9W4U9wnMxhUgBV+4Lj2NusZsu1jAUMwAXkbxjAE4aVBaNVA0q55/PvwSgCzDX16iNvq1D1kkG237cfXX+MDKc7EFXrY3iKBvqImHF6/BYFM2UMT2NMJQuC6Pu4iNas9NdU/YpOzExAcLddDUuaTooEQNFFsyKfW80b9yLR46kD8XJ4274kEprNhyGZOrhJlWoCENk4620xVNPQjdBy7o74G8Ii9ioAw1xfwk9SDUFH7Tt4Vz7rwmjCYx8jkQU93rqHfTRG4TyYrpAtR+64L09y+4DbjqS8Dg2kLH2xBycZITfqOmma4uHtl1qWNQnlwa6YTo3atCTep2wa3PiqHR8Z+JSFYeNwPp2UZt5fj73MW45pGX8M3LH8325ZrxhNyEvERtPQYGxTlRW0HXV+JimtAVxZnI3VQYVzVjWWt1fEwMit5AAUSmSTGiRr99Mg4NFNKxbYItHVrJJCtPMnlVM4Wsp1D3pR1/AnPPbnrlvBdx+C/uwOX3LxK2y9eQGZTkcrr8LSHnTqvqdBfKoJCVnLw6AvQslkDrtrh6T6OH5FT3mom6X6KRbQyKSaBJDzFpUHS/PwrrNZ/LBYpIVhdmbBiY5QmgEbg96wSMuT2f6F0TGRFRJGtnD+gEZBMbiknnkn+L9aF0/98fCjzwe+A/Pyx0fM7ZjdoabT0iy6LAlAdF9zm6ltoaXV875z/P4OK7nyctjg5MFgvyIkavQeGpu1toQ0GRrKpBMUXxuBkeRYsFJsxEbzUyUB5/aR1umPs4/l77Lj7o3ywZKBoXD4nice6GDhoU+X2mkgb58NLFMwpBk9cUrZeT14+0Bop0UJ5PVGRQss723l/crljHuoktD5fMfUH4LJ+jGYgMSpJQTc+gaIqBaa4ZagYcHtpFqbpHcMncxenfReh5aiSmGhSHRG1ysS3b62zKyyJS5HoGJWFzZKpW/oW2n9xpF4880Mm1R4BOuDw4trjpOBy14qfCOfOieHRMpe8xK5NWD9Q+0LZI9uUFhY63IeT6MHz5b5fvTZlkAZVRAZC+tOJYoL83T760XmgzkDFXcp+hupL0mFBvcDWJq88eZhx9trl4QrKYctWWCAxKfQC4/UxghbnkRHIfe2uZFm7xFd/Fm7z5OL3661wXjy5Lcy5MBoqhejVtJ6Bx8ZQGyuhDYFh9mfahKJLq3mS45w+KegblocVrcdMTy5QEY0UhH6OIZEOOCiMGSphMnnotgG6FZAozFmvD5Bko9t9Gn12R1yxpm3wfdanui9QuSfzw1msLDIqahEpNjOZ8ee2KV6zdpGeJjC4e6X7Um6FSuK9dDcq2bBmmzv873tH3b3QhmmASl84n/Wtwde0b6G2qYco6BsX3mJXhamp8/p3SoLRSKVpGyLkwZmgFs5ynnciW/sCUWRQwJVyM9vc0Y8uO/fdjV7Yw3U5lPnIeFHmMaAZcWZCFXO+4DMIw08m5RPFIBoogkiUGSl7m7rSt9Nnecipw43eBc99k3D9lULoyA4UKY1kegyL0R1cUZ1Do/VddPKWBMupg8l9T2AYiG3RhgiqDYn9hbBqUSEDY3qQgP3BfDjNuhqImhKur+7StoTpJ6W6RbkVEBxGtiyfvXpP2rB9q4uy4fk0ektPKidq0DIo0CNpeaGNmWwcNSsagiCvfdhLzRdfL/jYxKCbtjBzxo8uhIX8ebASYM38FhpqhUz/diq1O/072b8aJ275d/RN29xbif5pXKMfpIhN8Zo+F0Lt4cpsoQBkW4hN85ZKH8LqTrxXKABRFyC1RPGFsmPzxCOAPhwOSoFaeeBo2DYrFQGHSYmULvIzPP38crun6RrpNFzafuHjk+3nNIy/hB/98XPmdOlAtko5xlfuT/Lu6iYFC8y25MijCmL8ov4heIqqnDApNuCi4zrUaFGpgqmOwdm5ykCTI77iNqRkDBMp4NFDyGRRj+GROX9eGGSsaFHcWRqdBaReepA2QB6V6MxSumxgSOhFZqGFQbPlLBAalBRcPhfzszrxxPm57ekWu2E2bqE0KMzZdw7bgMNWBEcOM6QdqoERfKIUapXtgX/BoRLKCwazXm5gMZplRajRD5dnKE+OJlz6Mo393L35y3VNOBgoVeSf7y1E9Va5mURVEtWGyirczKLoJoVPFAi97cAmCkONP9zyv/d4FctZVZbEzuAZ47mZgwRygb5ndxWOZsGwaFJFBAaaxzJ2T5BmhkR/JdU15PE7795PKNs714fPUHaRnUMTxVH50gotHGOMdGZQCYcacZ2xkby1Lxk4NFHGc1RkoepHsUDPA/mfcgv+Nc19JV9a2h7JE8vOlv7908YwB6PzXyj6GPp03ntHvTfNkkUyysoHyvasfHwYXj7oyEcKMUwZFP7DJ90p3j7K8BjSTrN1AyZs8dN8f9dt7cdwlDynb6WNO/lQTteUPZDaNg1NtIIOBkrIHlJoO2uVPJAYFqsgVKKJB4blRPFc9lOU8cRn6tmBr0r9TIy0Ua/PoXhfRlRobnB6zGnC6CaHTtXhaKYWQQA4zDiTjUmmLZjGUgIZmq3lQzBFzsotnA7rSz5sgMlY8gRGM/rUVaZQhM0UJEuYs2kc1UNTziOegLh5I75ELXF1BgHhPKYPCyXSa5+Khix/awuXrhrBkzQbcr6m/pLPsGEKBTa7HzFLynAQXjxxpVLp4Rh/oMzYZCyZXTp6LRydyU/zDeQwK+VvWhwCydqI45HPKRtBQUwozTjQomnbrIkN0tyhLie/OoOS60wzfX/2QPTGYzt/uS3lQTLDdb1OIK9OsOKMPqounKYtk29R4yC4DXdczRfHIjJIuD0q77duS6RgUURzMdREsGqYhn0FRXTxFDRRl/w4O8GFoziek9HXOpYWW+DU1dF0yySbH+xKrSMeahE2hkR/JtzXnVO3me65nUMyRfvJpxEyyVCTrZngU6Qp0rDC5eLwcF494bWpsxufSzhPqtgpCbWK+JPzZ7uIpDZRRBzGig2u/M9kQRRiULMxYRB7lSLUZFaYzUOjfxScImdWTXT5DjVBiUKK/TS4emVnRTVrpy0Yr+FpWR9G5rV8Lq4Yi0GlQPKjuCx1s7zPNy0IHF3Mm2eweJ8YSnTzofZ2EAezJngGztFGbSVagjtSICsCdQakHobICszEKLn1TNFAi0JU0ADQ1p9EZKJ7HYCsKK9e9iY7NbaJ03WL7FwGH/ncB+smKG/YF5DDj/DwoOuG4JxkomyQGiqBBib631UBKrvD//CtwmHenWSRL+memQREZHQq5Lxtr8QzDQ0uMAN9jQkZr0UAR3z0bRIY3M9KUsVRzHh9BOqfQBeOE2PXUtIhkSxfPKITohtF3HLMGxd7RdLkL5EPy1P504s5jUFpBIIkfZQ3KUDPQMiimMGP593Covzkbb6i2pXNRPHkQVuQpg0LuMxNDaLsMWWptFD4dpAcNdX2EFms0KHLRr+TTNbWTcEXXydhl3Rzj9fVhxuLfWleB4T4qK++mJlGbzWBy0aAQF0/SD3XFJmUIdh7RQdhWhHrmwHydiiZRWa6LJ2e835UtwPcrF2ITqJFJK/uGcOn9JIxe0qDIY4+tgrg9zFhzH+JNsi6LTrLTtC6e+N7nGCi7sudxYvUSnFP7BXhQ1060IRHJutTiUQwUIYqHlGgwWKGc8zRBXVEkDEp3xRMTMZLpVHSd5/RnTRoE+W/TeSoI0vtFQ7UnxNFFtN/L/bfMgzIaYbGukwlIz33kh4MJKyDDzvJA+Wr2In5RPRuvY5HAjpOJS5dhVWxv/iQgC9iG5ORj0jkGGyEqAj0ZatsN6BkU3aAfpMYafft0A6V91SieM8TbvEdwTe0k7M6es+7LNS+9nKiNXi6hR2XYJiDBQCGrVPorTC4epKsmKYon3n0bbwUAYLc1/zFeP49B4ZpJTmkTgbzy1qa6tzIo+dgMWSbWlEEJ9SJK4bqad9hjTBuVsC1bikO8+4R7qwt7pzjMuxPPdB+Nw7w71Wu3sSK/puubOLpyA75b/b3y3Wn/fjLNOg2IfeHqh17EgWfQZy9VPpaaZNOv6KLV9G5PkUHZVMOgJE20ZfAFgOksq7Q9ce0z2lGLMgZWkSwXr03bm0B08WiuNrAaV942F+866zZru01I3u/uqi+wELxlFw/9m/bt0LxjDB9h+hupMToxHsMGGwHmLVqjzUkzBuyT8WeguIhkEQa4vPYd/Lb6E+lYdwYl62jiMfKK5vfVH+NQ/x78o/ZdpYF5DIpsXOgg03jy9VUNSoAKI4XsLInaOFcNF934nelxKIOirlAbwiSinoci4MCfaqdiV+95/LF2qn1n2mboB2P67KhfmQ72ru8z9VHr/MsABAOlJ84BQqn5RqAmaisKMQ+Kvv+aurQuXJEyJp/0r8Hblv6xrfZ1IcsomvR1RYOii04iO6QaFJ+hZ+lc3Fj7KvbxHkm/v7XreFxQOxP74kFyfHSMygBx1NDAObVfAED6r3jtdp8K8Bq2JHcf2u8eeGEN1g6QaCbJ2CySQM/G4FJ3ryczKFoNSvR9lIPGeFpszVamf099+RFLFE/0t04kK5/eymaT77QZYk/fHu/7z4GYjH73cxKkDIpkoJg1KHnubAODohymZ1ASg04U70YGyvGXPIT3nXsHzrxhvmrUlRqU0QexkBTXfrcNX4JZ3jN4p/8gaKfI1aCQDmASycoDxMx4ddzLIopSZFDa16DI/uEgEA0DNb+AxKAkLh5DqnvFxWNbpXP9KofqD5RjDKAlA6ayfsueclvSFqTbIgYl+zyBhA6uJxV8bZQonRQEA0W4Nh19sn3Oqv0S36n8XpOozX0y1LmfxP6YHw1CIbsCaKr7Xgzi29U/4eCXzgcGVhva49A3GY1kyq5ThEFJ7rvPGLb651HY0XsRF2sM1llelicnE8mK+/y++mM82vUJ67WF+1Xg+dBnWYeeoROuo7C74oRnc/HY3h3XPCiRiyf7bIvi8cIGtveWG6+5NVuRnWfNI1oXXjMvURuTf6PxcoKOzyaS3Z5ljJWHEMHi+4FATcMvI3m/u6qeeD9adfEIX7fAoIQig+J7DF3VqC1JPzn3lmfURG1jgEIZdwaKE4NiEGcV0aAk74XQTTUTuubi6V+6PChFNShyfRJZg6KGGYeC/z3LJKs3POTtuluUjTd0xlSpZtFAUc9j2rcI9LV4QmEyp4LXdRvcssnSl1+oE2Kaz6SB8JjKdUr+CuUXWn6ybjEkh6LmpUyn0GlQkn2FkE7j6tDBQIGqwwl04kD5zBoGxfcYWNMtUVqm2Rav8w7/YdRYjjbK8vrahnva5kYLBooougycXTwy9C4e9Rq+wAcQBkUjkv2v2z+Bm6pfxn7ePO01ZxIDpXfDS9oxot4M04nflqgtMy5lA4729RwXjwZfrVyCym/fCVz95dx9k4KrXRVfdHkZRbI5ukPyt00jSRdLCapopou1etouTytclvt7yaCMQtB+bdSgkM2e0PHdz23SYiSajV4YCv0RBkXOJBtfhbQ3HxUptEH+zYqLpxFoNSimPChKFI9mYspjUBI0NDoBGUm+kZbrwKSDsbhaFNxz5DesowyK5YWmL7+oQTGsdDUuLrraqwdcM8cX+82ye0l3Swu5eOJNXYwMlKz1IaQGXS6Y/PwvOveG7zHwSo/jlaNjWnHXtOriocfVebsGSqhlkUyfKbRRPAajnb4jU9EHQJ9JdpOVcwEAH/Fv0l6TMijgetdlyLP3Rseg6PanEHQw5Dglv4n0/D7i34Tzqmfi/1WuijbMu1jc/7ErgMcuFzYNpS4eTzTYyIjMjCsTFSY3sPwcl64dUI71WZguEpPsz7WKp9UFKRqUMTD7j4Emdha6NNnpd8nAZdB55LodNOeWQ97qQYgvVy7F492fwDu9+9WTkDbpGRSxxXmQRbLNQBbJqir/ihDFE2DxywO489lVkKHLgxKGaqt090KX6l5gUAyDbEpdFpoo1Gco+ttFtwId02i6e9uCgw4mQ4IGBdq/9QZKtkOjYKp7vUiWXBt6BsU0mckrbYFB8ShDpD/exXjWGigOri1hlZk+TwZe7TUeQyeP5Pm2YuTa+l0lGAQeuVTr9qKXogwKQ4jvVy7E+/1bpf3l1a7odg2DEKdVfoUv+pdrXDzZ329g8/H1yp/TVPA6sXtyuBDZBrGsRnJ9Hxx44W6gPqBhMfSgBgoLg9yF3pShl4CL3w88mwmD1TwobgyKwlhLRs+Pqr/FbP8+c2P+/jHg7x8HBrOIn4RB6a44alAKuHjoOy/3z7qG/aJRPIn7ruZ7ysIUUAM3xkIelHxT/hUG+oxMgw3nSN822tGK+MbTRQD5vhlGKZK/XLkMAHBK9UL12kJ+DLuLh4GDIQS32Jmyi6cZhMJT12lQfI9OsCH2+fHN2nPrwoz1boTkZFQkq+YBMaV/puiu+ugbrLfMoCSHyTkfBOOS/O1aMNDk4jEbKOpgI7h4ihYL1IpJxf7YlouHtKfHp203GSi5PIjAxAip7nOOFNmDqJ0V351ByfIdtcCgWPrdfgvPBO65HNj6TcCnbtReExA1KAd59+Poyg0Aonw3+3vz8OnGVzTsrshqbrHuUXyocgsA4Fp+irAv1S5c1vVdAEDAqvhJ4wNaBiXToIgGicfFdwQAZr30V+COnwHbvwMh/5r+RhB0Y0jUiPEg1/D+0IunAQMPCtvUVPdm44g+I0Vzk+NuMaI5CGAysOFl7HnP8djP2x2sepAxzNjXsNAmiOkpyCUdDBSqQUkNFFcXzytRgzJnzhwcdthhmDFjBhhjuOKKK4z7fu5znwNjDGeddVYbTews6ENyySRLX9r8KJ7sb53x0wxCBw1K1gmrGn84bc/R/g14uOvTeD171ng2uaPKyb50LI2uWKAO2kRtmv30YcbqJPfBC+7K/NCGe/0xXI0Huz6L6YMLjO2yIVstioOvGIGV7U+rptreZ7OLh+yT4+KhKcobTdVAKTqd0v54+9MrsarPXteGQh7Y+4eCtE/3+vn9I89AqUruS8HFI6woVei0XhGD4magZNEiTrtrj9VhlxX/iv5YrK7IZQ3KVKzHx/1rsQMRan6n+kfs6z+CD/q35Lp4/CCb9BUGRfNIdvKjDMs6DUpytPxO6CIGd1t6ebRhwa2aZ6NumU4KQgIA4xqKVcLUhiq4VfOgSN9TvQrJQKuk9rdEBpGdNNvivW/+EbZ58d+4qHa6NYonr1ig6WpWBkWT7bqCIHUN1wUDReLaNQuUV6QGpb+/H3vssQfOPfdc636XX3457r77bsyYMaPlxg0HjBMG3YdsFl08OeeWRImAmr6aGijaQZyMLlVNsijapT5YuRWT2Ab8tHq+sU2yi0dmZXShyhVGXTx2P7BLJtl0Ww6D8tLaQVwT54IwPZsvNi7CVNaPj639pbFdNmQiWVmDQtpL7olc0dgEauuawoxzNShCDRGNi6fghEqvffszK7W/xeROSQyUzSbWAABrN9RTI2yCR9reoiajBlHwlyWry3fxiH76mEHx7C4e3fEtuXjs4SO51wQiA+WX1bPx3eof8LXqX5V9u6EyhLJIll4rr4gjkGnRbFE8skhWzhUEAIGX1eexuVkSbKUYKEFuN2aa+5iXSRYC000WC51iUBKsy0ppdFd9owaFRqjlimS5/m8lQ7CWQQmUKJ6ar2dQlMiwMWCgFHbxzJ49G7Nnz7bus2TJEhx77LG47rrr8J73vKflxg0HdEmebPsU8SXSVXSa3Y/MXM1A1WyoJyEMitZAKTaoyjSe3CV1bqSK8LKHmqOS7zgaUi5y3dySDJjCgGYopZ64TvPYqiLzoh828G7vbtwV7qIVBDKIhfRotxgwuGtkCAwKGUhEg5h+0DAoNEW5xsVj/cl5qe4NMGtQouez+aRurOyr4+WBBqb1RsZKr9fIiD4jg2KHbKBMYgMAdxPJahkUjwGODArX9UdH2O6pnJVZOI4an6hgb/9x474BfGVskvNq2LR0umeajAM6BleXSVYWyab1ovzu7DgHDcp0SHocnm+A6u6jHMUjn4IZxpakplU6GRvGHWd42ZTZVRFFsiHPjIIa1ESMJpjYW7kP6NivCsKUQekfiq45qbuiuPbl6wBAgRqPI4aONzEMQxx11FE44YQTsOuuu+buPzQ0hHXr1gn/DSdEMWQHGZT1y7Dz8xdjcqx2T/alq+JmGOYzKOTllGnw6JhikDuqbJDo2kDDjO0MCseQJpOskY7l4iCbtSlrQ5JgKJetsrz0Nz6+TPj8aX4pfln7OS6p/SA9ikmrRVGvkf29gWhQbG2ikwJ1C4ljQgEGRVeExgIGYHOswdH+dZiEgbhN+ceZflPST7ecHK2YXx6op4Zmj5c/+OYN/jXJ+L6u6+v4vH9VHGZMz672+OT7BSv78YU/PwAgZgorjgxK/G8rDIo4yEsTtI1cCTL3Wl4UTxOenUEJA+G95AFNC6BvRMKk6hiUxGCQ3wlZpwUAoVcjx4nn0T3z6XG9peV8arQPzxfJ6nbIS3UvuOKlMUv4ze0yKH41/dPm4hEWlwW6mWkcAswMStJX1scGysSuira6utynXpEalDz8+Mc/RqVSwZe+9CWn/U899VRMmTIl/W/mzJmdbpIAl0JSdLOzBuWPR+C/5p+BH1V/J1ynITMoebV4SJ4SeRCX2+MCX1Jzy6yeXoNCjSiziyMMRd0EoJ/w0igeOnBw6uLJtidJ0sKQW1ektkfxqT/MFT4fxKOU5a/xlhgFgUK7yd8b6lRPYr5oYOxXBgM3Jw+MSyZZeSX6p9oP8f3q73Fq9dfx9fL7imk1mzB90ydHK+a1A40sURsNM25Rg1Jjak6Hr1X/Gidqc1txfu0fD6fbfE/WoJjPkWWStV5GC5tR49nelUaWoyUvUVsAX2OgSJOswV1qEv77qYES7bts3SB+8M/HsWBlvyUPCv0c3zOBQRGvoTdQoui/JXyzaB8HF49LDTLZULSF9QrC4JwaYGYkN4kwKEqiNpOBUsDFQ7bLGkl9FE8mku0bjA2U7qqBQRE/jwUXT0cNlPvvvx9nn302LrroIucff9JJJ2Ht2rXpf4sWLepkkxQIc4QhKVSoWTkAOW6F5Y8BAPb1HgJAXDwCgyKKSvV3SNagyBdVGzGV9eGi6o+1tUOqiotH0qBoln0ig2If6JPfkzKomhZmgwmhMg0DRfJi+cEAbq0dh59W9VqTFuaWuC3Rv3YXT/b3QIOm/becVxBf6/tMrkhWKvKWZ18IhjRj2MmLUqgf5D0QXzv/LhldPLFra4vYQFmzoZFO6L1evoGSB53xHbVHNszMDEoyIAPxBFzLGBT1/Nl5mgHHlfOW4MU1bondKHKKkZtRz66lY4UomloDRZqAOdWJZb/V9DyT3IMJm/D5i+/Hb29fgPefdyey8g8iqym+I9F3gW/ToKhIGJQlfNNoH4f+ot+Hk/+bF5FRu2QGxU30b0VyHDFQar5nzMbauosn+1utUq1hUFiQGjJ9hEHRRvGMB5GsDbfddhuWL1+ObbbZBpVKBZVKBc8//zy+8pWvYLvtttMe09XVhcmTJwv/DSfEgn75abV1eVCeW9GHBSv16dXX8onxvtFnStU3w1BLsYoNJIME4wrDoetSm7O12M9/SFs7RH6BZFGs3sUja1D04DybVBNKUTcpBiHHnc+sxIp1ZEKgv5NcL7nHu629Fdt4K/Df/u3mizuCTghZFI8sktUzHaK7pjiDIqzzBOtY5+LJdogGVWngla9J9tf1CxcPhtHFEz/XLSZ1pddauyEyTHpYvkg2b+jrgj6leJFigUlOHCAebEmYMa1uK+OaR17C//11Hn57+wIAwP7eg9iWLc1pcQSRoSgwwDeyJFs6hkC4Rp6LhweCoSQwKIYHmjCpCYP77AuL8Wn/n/D7l2U6HlkkK+UKAoCQimQdOlh3XGdqPY+MRycXjwa2WjyK0F9a/IgunhaXNhoDpeKJGhTaxlqLIll6S+VU93VNiHgVQbpfH9GguIhkx4KLp6N5UI466igceOCBwrZDDjkERx11FI455phOXqplyCpp2arknAsWvJxJdrAR4ICfRkmV5p8yW0iLDgBrMQFANojSTIaySFZLg3Px5aqhgQ3IitcVdfHIBpF8vE6I6wuJ2uwaFJpeeciw6ucc+Mhv7sEvqvRekgRo0r7Rv/bfWSSJmdiWZLUoDnCmTLI08sVVg0Kp2SIMCj1u9UBDYb/km0vPRxdDHNHvdHHxGKsZx4Ph5J4qeqo+NjQCrOqLJv1uBxcPNaeqaOLz/lW4LdwdD/LXALAxKDz32Sa3uruSvRe+x8C87HMvhrAWE63nAYD/8h7HhbWf5O6XXbvFftfIMkfr3KoUTe6rWT8VF4+BQTG0T2ZQflo9Dwf6D+JD/i14f3g2ALsGJWkzFclWuWgE6sampN1JcjomLQZ00LnKVBcP3V86n3T+wYaeQSk0luoMFJ8JLISnsN/69iinlgKNE8j3qa5jUKgGZTBjUOTozeh84udXZKK2vr4+PPPMM+nnBQsWYN68edhkk02wzTbbYNNNNxX2r1armD59Ol772te239oOgD6klX11LFwlV7RU6f/0O3CsGcgG58FmoBooXDRQhCie0KEWj2QQdKGBDeg27JyPdRv04ZwJdt6iB3OkxSMNM87Lg1IPktWsDww2rcnARKGf3ghMj8/j0ouMLfTv+IMsAOT6pgkMim1gNUWH0cFHZFA0idqI8bpy/RCmT7E/d3t7XBkUzU4r5uN/1lyApextqPl7YVpvFRvWBljdH62GBQPFKJLNcLR/PY6vXorjcSm2G/wzADWKJ0Ez4EJhON3ZkzbTd8/3mPBMe9mgUx+ZxZ7J34leu8UEgZxoUFwYlLwoHmEhQ0tEGBmUWIMST9YHxHVzdvReTMcoOWpHTgoJRAnfEnSHAwCqyj7CdWUDxcnFo57HpkHJyzI71Azx+Ivr0FvzsV2XnrnNRXJOIpKtIBAWBnQcqxZy8ej/ljUost4PAN7uPYKngrcBEF082uvIfWr02yfFXTxz587FrFmzMGvWLADA8ccfj1mzZuHkk0/ueOOGB+JDOvBnc4TPIefS6pq+/NKZuPwHsCZmUBKrlk46aqI2XccVJ64eiMm1ijIoawbsx0/wdcIrOvhZhH88+31d8WShTaeuM1AMlUqXrh3EmTfMx5oN+gksPdz6rRm6PChJJtk/3v08/nTP88IARzPJ2hZCIoOi16DkuXgEA6VvSBlo5cubXDwcDCHPF5sC+ue18qaz8N6By3Bz11cwqb4cU+Lw4iTRm8ig5F9jR7ZE2SZQ4ATNMMxfcSYuHsVAydBrcfG0g2IlFgialEGxnyPXxRMGwnvpokHxLVE8Caur1uJRGRSqYetGvoYnSZGfGSguIlWdgUK+lVzz6pgoXmPJmg14989vw35n3CKMOxVWxEBRGZQuNAQ3CXWJFRHJmvS9LnlQjqlchwlBFPnaF9cNm9hd0dbikfvuK9LFs99++xXKH7Bw4cKilxhWuCzM6UsopFCWfnc6EQ2uTbdlDEr0uSEzKIbYz4DHhQqlBnazutCBi3apnadPxl3PZXV05JdZN1EItXgsz5pWZ04mC93uyb1g8iCradMJl0aRGR/w++jiTHNt83fKvrQOS3ycOPhyvNxfx7eveBQAMKUnu/CAowbFlKJasEkKuHhW9deVKBOGKPri+seW4sg3bG1kSDgYgpA7hdHeIIVkA8DiF1/EZvHfUzYswrTeiBVN+m43NZqNGhQ7C2JiUEKeP4kll+yuii4eeqXhMlDURYpjRySVlv2cidFHqCbVkox7VtjFY86DkhjGdIKNUt2rbAMj7213uAFAphm0u3iiZ8Uc8qBYo3i42uXk/WWm4ImXSOoKct8qlqgrBTzEwpX9qK1rIEk9WsOQpEHJ2lEr4OIximSl4xqB3qjvDaNK06kGpauiZdLUYoGvQANlrMPq3+Z2BoVD7DTpIDKQGQBB/CImHa0pa1CaYcpbCcZPslGytmWxX1EG5dA9tsIRs16FZ1f04YI5zykunprmJRWrGbsyKMnvVgft5GUR9Tx6A8W2jaJlDQrUtjCE6csNiAyIkBXWcl5RJEsZlGx7bhQPOS4IucJ+cc7x3+fdicUvb8ATS9fjhIPNblPO3Vw8y9apE/lgmDETW0/rUdyYXQXDjHW1onTapwQ0j4Uu4iX5XQKDwkQXT4+ji6co5DpAF9xqLjMhoICLh4HnuHgCeCF5BkSbYGRQ4tuYMCh0L73bUxoHY+OFGkY9XKyuqzdQYiaZZwxK3mPxNH3Klu5B1aCIx68lbCwPg7RHVSx9UAEPsd8Zt+DrlcX4XDxrdvGG4Cah7RAXfnljWQZRJCsZKJpU9wDg8+j3pRqU7gr6NVmjlVo8Y0CDMgZyyXUWeQsezsWXQfCHc46A5qrQGCgJFfr3+xfjHT+5WdCsNMNQSQ2fIDVQJJdKd5sunorH8ME3zcROW07SHq+bKGgNICtrwDNGKImo0BkOujBjkxA5/d541eScOTsQ5A3Gaqr7DLTwn03zYRLJUhTJgwIAK9arxsPil6OJ7tanVpiLXSKJUGtthq552XFTu31lIBMicBw0BaHmaXZZJoe8Pq6N4tlIDAp9zgtX9eP0a59yOo5qUPJEshGDEkrbJAaFGrhOUTwxgxKERp2KHNkGwWCJGRSeXbeHiy4e3Tub/NaARbO6x4sVwdSdWxF7KhoU8d6t20AT2RlYDvEEmk3RcTSAoIa6kE7DqEHJjeKhxjwxgGUNimHuqMTGqhhmnO/iGQMEyvgzUKwTG9MxKNRAEVfHaQciBkryIgchx/OrxBVGI+CCy0dYFcSvoDw4d0kJrYoavckLlOQXURkU9SXt8elKP49BiSeLVIOi30++NjeEGaftzjPECo1y1MWTMCjyYJyBDvKuUTzUeGkYonhSfvrBi8FfmqecQ14x6QyUBF1VT5ho5KaFjlE8WgjCmVDJaSSGCOuvIWtiZOgStSXIm8BTA4VE8XhM1KDYGJp2QO/pywN2nVQCzjluefSF9HPe7/PAlSzAHnULcQ6PU20U+a0DL+MQ7z6FHaB6g3oQap+JTYOS/C26eDJdDaB/Z1+9aRT6vfu2m8f75Fcz1ido5PH/1X6tXNfCoATkxuoydZvQPxSdg7qFalxcPJoNlDyDW7+rbFDoErUBGYOSF2YsuyfHgotn3BgoYcjx+Ivr8NiLa437TG0sQzjUr03xDEQdiU5eKSVPNCi2wYcKLpX2JQOG5GdU8zkUm3QSH2nyr8KgaDQo3b44QZkQaVCil6YWTxb2WiX0vGKY8d7eo/iMfzWS35fr4mk13DNlUAztgmgomNPWi6D9IhBcFJSaBvDEVcCVXwB7/o7ctpoyHQPR5GxS/3MwhCEvxDJRCJEWPBRqduzrPYT/Wvsv4XvtOTTGN4Vx9QrVrSojeQ7UxdMIQyH6o5JjBLQKIV+O4w2+7rFlePC5rGpxnovHY2oornA/g6bAoNA8KJtf+WFcUDsTX6pcJhxPF9SmXEy2YoGpSFZw8eSLZKsxG8fj6BfmwKDkMary8cpYEcoMSmag3P1sVim5iBG7biAah+n4XuUyu60PMzYZFgl0DC+gsmGJkSTD5w1wzrNMsl3VMlHbWEMjDPHun9+GJ5eu136/HXsJJz/9QfT+ck8lo2KCkIu+4bQDkcHCswjgNkh+QfpiBfCwI1uM9z/8KWGfdl08SRdMVlAuLp4eXwppNCDKJCsyKKbBp+oztSJr2sYQf679CN+o/gUHeA8K7TahyF3gOgaFFWdQjEbRgxfjiIFL048Nymxw4OP+tXiH91A0ob30UIGWi6BX7656wgpLHnyiMOPWLBRhBcu5IAT8dfVnUqNMDApld3QGipl90E1QFDoGpRmI6c59Jia6o2esoYFP+tdgB7ak8PtUb5rvuQmLVg8IBpmLi0d299F78rPrnxQ1KOQd7Voe9a8P+GJ0ouexlH0dagYGBkV8J+jn5D7ZDJTkjELobbw/Z8RAUa4swlYs8PlVAzj4rFuN7QbU93TdYHavvnvVo+nfusVZfAZly1/veR6AqFupSXlgBA0K2W+wkWMIGd5jOtcsXzcoZE4WrssbGGpmKe8ndPmoSfMGoBo8JYMyipCXlGZfL4oe8TastuRBUeulABAMFNvgoxMuZedmOKV6obJdDTMuhqQUT2KgyIO/zkDpIhoEzsPUV/mT979e2E8XZmyaxHtrFTWXQwz6m7bzV8TbWlz+58AkCDTBSYNy5RfwqcGLsB2LVslUZDtt1Tx8t/oH/L724/Z/ETlBV0Vy8Qh+7CiKp9WcHTKDIg5kdjpdh+IGSp6LJ96PnDbqh+KKX3h3ebbz/6tciW9X/4Sbuk7IabkKGoVX5Pb6wqLHxcUTStuyz/OXrhVdPJroDnVhk72jQ5qMpPI1PIn3Sr7zhBpa0oIr1uv1VGliyei4MGZQPORnktUzKNG25euHsGj1Bvv+igalQfZ10KBocP1j0btdsTAoJgPFVU/HOceq/szoSd7fMOT40z0vGMfECm8KC6kJt34P77hkN+wp5fhRxMUlgzJ6kPcwQnIrdCmegagDNaVIi1P/9QR+d1vWEWwGygbJxSNH8eg6YDdrj0FJfrdvcvFwnYFCE7VlrgI5bl7MJBtH8Rja0SVFgphS3Vd9X9vOdiBQqPEnMULBzR2gHVjJxolxXgi6UukezMJ4XVfcyr3S7uNL7ga5WW24eIQ+LDIoT/Otpb1NDEqG4i4ee8MTY4zu1QhC4VnILgqKt3qPW89vAw3TdX2ejIniynwNSqgKGuU6OeS9ZRqdmGKgMJa+o0NNPYthLxaoimQ9rmeEBQMlNha4VyWf7fdNH9Vn21+ELJJdKxgo2bmLuHiSNvkkgEDOpCsYP0w0il7uVxmNtL3xuU+89GEc97eMYU0YkasffhFn3/S0cUz0eSOtN1T1Gby7zgEAnFD5m7CfPB6MAftk/BgoRZ6FUYMi5ZZoBBwXzHkOC1es0+4vw8aghGAIufo4utsMM04EjkYGRSNWrJEJm4YDywYK51CieEKul8A1Qy5SxgYGZXh4kwzJ8zO58WzQTvia3yGIZMmvc/W40PwewqXI310VMZmXmKq/PRePLJKl+oXn+FbSvqb+nuPisYhkRQbT3Dz6+6KMxtnnCgLjc+3S0N+uEA0U9+OoUeJkoFgStXkIBRcP5wHWDjSwsi8bK3o0C5vE8K0380WyRhdPKLpmdegWDJRo/zA2UDyHWjy6+2Mb95R2JC5A1AFwYdz1pD7iiuQ4gUEJzYvHqsSgzPrBDcZzJ/fj7/cvFrYnLNqdz6xKz0PRjOeLCm9isCEuFHVQc+uMfowfAyXnaQgMimHy4oBWgyIOPuYXaWBItNinsT7h+k3N4+iWqPDCLp74AN9j+FHl17is9h3h+4qGQaEZFoVoG6YyKEomWcPY22hK62iBKqbXiwfCjjIo2ZVNhdHczqNpky5cmKYeZ9kzzTMYvlK5BBU00V11YFCqEoMinJoh6BSDwkPhudfl7HkOGpR2RLI6IyP53fTSjWYoWHDyBEshv1NFQOuh2AppUjDGhORseS6ePA2Kj1BkL4Im9vj+9XjjKTea24CsNMCQQbQpL8x0UTz0ur7s4on3oXlzkm0Jg+IhVIoMTsIAflE9Gwd691vab+7MOhfP5ngZT3Qdg19Xfyrt25qLJ3kn6G+uWDQo1EBxdVnKSMaqx+NEc6/ZYoLwffIu1tBMAzBsY4fs8h0LDMq4SdTGWCQSM80RdLMpzFiO4km0Bq6rowELgxLEQ4KMjrl4PIaPVG5WvtfRnDWaByXPQIlFg3kunqFArI5q0qAkGsS839mqAXPjE8uU411rcuhdPOIzPcq/HoeveApoXglUugDuzqAcW7kCq/hk3Fw9Uvv9snVZWGdXxZPCEyUGJWw9DwqTGBSqQdGtVl9au8EaEq1L1GaqZgxAWrmrzyb12ZNtqgYlMPYR2f1RBIJ+YzgZFIuLh4Fj0cq16egdGDKMUkQunsRA0TAUTDUM9S4esrCQDLTUDUL7SygyKHGLheP28R7Bof492ATrcWO4l779xl+mN1CO9G+HxzgO8h8A7WomliMPyTVoaHIltLh4CmhQTO9pEOfNeioO7Pjwm2cC12ff11FBL4ZQZc00AKOr4sP0s8aiBmXcGChA9EDMya3oIEwpZuru4GJtnZDDR4DJLCs4aJvsbAZKCIYmVHqu3UyychSPDC2DIvxmMrBqZCRJqHUt9gOYXrZ6MwSr0YlPn0lWFwbcLvLobNd7qmVApIywP6heBAwBePhvwBuOBieDgIvLZTu2VPDhm1CTXDyBYKCwtvKgCKtzIpIG9JPBW0/9j3KOPLedbfXqOzIo4BwTsAH96Ikip6QwY5OLRzT6i90jGjKq61c6MEgGSo7mKRLJynS8uGii7olm08FAAQQNioxNJ3TBGyAGCRPDttM8KIKBor/uVlO6UfEYqr4H1hA1KACweHWfsH+SVM8cVQPYnlNeFI+4L+kjrLiLhzIoVcVAMRk/9j5mam4z5HhuRT/qQYhJXRVsOkFkL4cEBiU2UKoeMKicCoCaV2X0myfjzkCRbfcMlIa2JWoTGJQwxHW1r2FH78V0m2111DdkfgFDeAi0Lp7WV3uAqkGRUdGsZIVMssSFIVvctGiX79nDjAE5D4qe8s4KC7qxGi7gHMrbuM8O04DnNe3KO48MUyK7emS0UlYsOt4+LHCwqDK0Q1sCjbsxbRYvppGgkJ+TUBBNuVf5Lh450RugJiAUjjWI1NMrxg/iVWvm4rHu/4dzm4fjmuZnhLb4MSepg5pbyB15OS0SzF24Gm/cbpP0sxwhY4OuFo/MwFQFA8XFZcVTnViko5GS71U8VeeiYRmZwTULcsaKx3DNl94OBoD9LA4z9mrpfnMXrAKQfe72mvH5zB3W9o7uuPkEgGaP4KFxfyGPSSEGJTqOLt58mwaFjKE+s7+IpsR1z68awOKXFwEApk2oKVWeh3gVYNHvSFw8Ng2K4n4fAwzKuNGgAPqBMoGJQbHlQWkGXDBOov1tDIr5heDcwKCw9gyUZG4x0Xk6BoWuEmwunoCs0hN2xbZqF+4NOa+42h7el+YY/98AeFo8LWpXGwyK4Koi38dVTzmjBkr+5MbB0G2M4qEGSShpUEQGpZ0wY0gaFDGdt+zicTAkmdqvp6Bfs2NyDbv7LflZ+y88EwDwhcpVahQPMzMoNvdSHuoObAUA/OhfT6R/MyYKMl0yydrqzXgsFM7XIG0yvT+MATU/06DId6ar4glssazhycKMqetC7+LxGIPvscg1mORBIQyK/PuT6th2A0VFzfdw90nvxK+PFt1CNm1Q6xoUlUHxLQwKDaPPTzqp337RnQvx29sXROdmgLwYGIqNvCplUCwRgGWq+1EO2wPh0A/CtkyyukyfNgOlb6i4BkWOOMhf7ev9jBWDFa8rmFUFjRCgLh5Zg5K9XIlOIeTc+MLRo20rMXnfdmN7KDv2neofsb83T4oicjVQdBv1EQLwksy6xEAJHA0UgUEx+afF9sgrbt6Gi0fMg8KFjJNqWnEHBkXz4k1hfcq2BHQC0z2bhEEZqExNt+XlQaHotrA3JiS1TUwF22QIOgwUzYNiF8kycMEdEhADpel1ac/JgJSZ++KfH1S+r+kYFKG6seriqRjCjIWFoEaDIhsoPamBYr4v2tBjBkyf0i3UjgKAx5esMY4fThoUTZ/WRfHIBpVnYGfyxpeA89QQMcHTCCjrsQOkimYaqWQVySountFvoYwzA8X8QEIiZjStcDhEBkVXutwaxWNhUAJHF09el1JemiRRm8HvnTAoPRjE5ngZADBxcGn6vcCgyAZKSBiU+N5yAIcPXIaDvLmatokrc+32GMwwqHQC27GlLZ5fx6CQBEmMJJCKB+SQ9DmuqWAsIwQTBhnTqjIIQ6OLhwNtRfGIz4nnalDywAozKNk5Z++6BU49cnfh++R3bahOSbftOXOqpEExu3haQXdMnZtK3suQ2Vpb7ScZOhePzG7QCZCKZJt+NzmKutnkEgxi+2QDZTO2TnkvmBQ9dBT7Fz7i30S+j9tHh7Fkf2KgyM+lhzW128Vra4yG5B5LE+8tTy0XPlO2ySkPiobpTA0UYhjKdjc16GpCFI/9RXxuRT9+8E97bh6mZVBiDQprpjm2bC4epUTA6LdPxpsGxc3FI3ZoKhgVX3KdgaJL+uUhxC5sIVYMvsZ6fV2YsZpJ1t7ZfYQCE5NqUAzuhaTQ1D1dX8RkNoBfNN+LnvrqrF2U6ZBuH2VLkhXjzs2n8IkNv8EnasB2g3+W2k5AJjZ93RTRzXbI7tMxe7etgMu1P8MKVTXBpKgIN2hDqInRkSRqi06aVHcmz9TBxROCCSJZ06AdcHFFpGhQwuJ5UJLXwxbF465BIX97Xir+YgjB4WGqhUGhfXzLSTVMn9ItfB9qGJTvHr4r8G+zhqJddNd8rB9qou7KoFDWiTFRu5DTLo9xgY6veGKZCFkkGxANSoN1oSf+m2ptGIC7n8veaxk13xPGrvf7c9Ls2vS6TOrDP6r+llwjc/GkiF+apBYP0DkXT9YtVSaD9qEammjGU51goJhEuZqFBGMc4HYGxc7OtNcX9QyKKpJ1SVGQYAzYJ+OLQbFZjKHRQCF+/lCsRjykKX+tWx19o/In/LPrW/hC8/fW62sTtRUMM5ZzE6QuHk9/XCU2UCazqPLyFytXCt9TBkV28dBJMblOuFbU5AhtoSs6aqBo1PR033nfPhC//N+9cNgeM4zntkGepzlYS2HG2uJ9xMUziTIo8SBH86DYKkNnbfMEF49p0L76oRfxh7ueTz+LDAqzutryYMuD4qpBoatJyiYkA/zUmEFZz3sgw5euL7+2ye/a4GcMytRqYI3iYTlCxTz01qJnQgWptndRcPEoIbwOYcbx89xu015cfew+Sh4VUxRPk2WGwEQSzsHAMGvmVOM1u6pqJust2BrxN8n5VxRoDJSkf3jZWlgeI7tcXDzx8+tCHUf712EmW0YYFPG46Llnv4W6yakRZqxmrHlPdRoUub0CS8bMxksr0DIoPHrWogYlX2CfoKzFM8pAH8eUHjFki650acelAy2HOBHoXTzqtk9V/g0AOJr9S/kuQZSozSefo9YWrcUjXz+lXQ0DS66SXRAeylE8ICJZFl/PMmgb8qDo2kDPM6mrPaJP1yLWAoPyjwcW46TLxFUlZUUmYSDbHiTPjbp43BgUIROn5X5e/VBmDHYizDhpqVrN2KZByTfuPE9khLpQTyelNXyiuj/EfqLLvwMAQ35vtnFgFeQonk66CVMXj6ESsIxk8L/ojgU4+crHCopkMw1Kb60ShetKDAodo6iLhz476nKsrF2IPwVfxaHeXQA0Lh7fszIYQHQP7QZKvJ+gek+oMy/NfCpP7G4MSvTdsZXL8f3q73FT7avZdZQ+KN6fmiFpmnHs07ynuigexcVTkAEqAh2Dkrh4sigejt0HVdf6WMa4MlCoxXjyobvg7P/ZM/1MHz1d0QsZMaUoHl1Gxlb93nKYcZ0nlKReKW+CPPilidoM7dKJZCmEMGOZQSGrdM/BQBEZFCK2o1FDSM4jNMLaxjzoIhvEHA/u5//LvYvEDYRhElw8zYhep+t/XVE3GRyQGBRHdkcSVXaumnEoVqd1FMlSUAPDR4ipiNw7Te6hDyqDkm+gJJcm+/WvtGpQ9PlU3GWC3bXEQHHQEXGWlgf47tWRtsArlEk2c/F4XmT8ywJW+t6GgoGS/T2ZGMzVl59G18rH8ItaVKdFvhuyBkUHD6Hi4qFI7qXo4kk0KJV0fFMYFOSHGSd4ixdFR9VYkI1HGgaFhrGLdXEcNCgaF8+mWI8DvAdENkZxLdnGvvbGsIiFtLh4hgLs783Dp5//aoFzttWkjYJxq0FhDKgSNRfVbZjSFIccCIhbx4VBmTGlGy5pF0IwwUCJ2JSGhhEp6uKJ/q0YRLJVnhPRQMWsmpXsbuETmO0/CR+7RfvYVhEGBkVvoNDzdE5LkJytFQZFC6pBoS6eIHrowvztpEHxnESyynFSJtkg5NB4IJ0g5lsQo3jkgTY01Tag5yPvWQVBqj9Zg4nQpcGXRbryQEoTtaUYWAlIk3heuPIgycWRh574mTQcIrFCMMUdWiSTLCMuHo+xWIMiGjg0zwaN4qEGxHYsK1SZh6rvORhOdhdPpkEhG1ORbBal6LFQeKWdXDzxAWJRV4uBQiIR6d+misMCQnVM/HntF5o2yWOzrf3twWPIYVAC7OM9WuicZRTPKIMQjcCYMOG6aFDAXaJ4sm0H77Ilbv/aAWgYQv8ooiiebOWcTNSmZEgmyAK8xP9vevl9QzbIOyYcFLVDMFDEfcIQ+E3zm/hO9Y/YZvlNcfssEyp5wZjg4tH5fOlxnWdQxLDNNs4vuHiogRIPctRwcNKgRAzKJ/x/45fVs4R8Cof692A/70HtcbI+JkqiV9DFk1a8Nrt4ZIMpdHg2U3szkauHMI3gWcsnOBgooWWlRw2U1aoGRWAtuHLMhgIGSsJqNRr5DEoAT4niqRQwUGgUD0PETlpFsoRBoQbEa70XjNeQ34muip+7+JGrKMtQRLKcp+/uYMAsDEo9Pn/+BE91emm31JQFoExHlxDy25oGRYciDMrwaFDiMGPWxEBDjVrLY0jGgARlfBkodNCYvG4+pi+9Wbtf1RAiFnJxItAp+mkn6an58DyGQDBQ9B2VSwxKmlPAMWpCd30g64SyBiUZoHwNg9K/0xFoeNGkkohkGVNDJ6nuYUr/gri9ZsjahgQVDWPFJMOwk5BFsu0xKNl9FRiUZkKbhdp9zW3z0FP1cXL1j3i3fy/e698pfH9R7Sfa48QonjhRW6up7iUXC33ucn8MHRiFzSdmhoCPMGVQ1mJCrvEYiWTV8Pb4r2zjwGoIGhQWSEZo9DcN2x9EzYnNAJBGVjUDvfuXgoMpei1RQGm/Zz6yJHxRoUGRQZHDjOkzoAbKTkysjpvgf/z/CJ8/6t+AWoVZJ1ggX4OSapg0zMZAg6fsh2qguGtQAtIXdNdJ2iEyKHq3TKVAFI8O8uQ5nAaKXoMSvVeRi6dZ+BpjwcUzrgwUajEecPP7sOftn8Nu7LnoO8E3SQch6uLhkkhWfVnpy7f1tMi/TpMnmQbEyMWjiiM9cExBH2YytcidDnIJ8cRPK7t+Qj/OQrhhBY71LxN/Q6Wa1ZCJX36PqYQgnQAzNsrtJTFF8WQDsd3FU+Rl1O7ZogZFPU+OSFZgjdz0C9TFs7kUSWEC1aBEItniqe4zkaxYi8fq4nEwgiqS/mJKXLuqNnETJwZFDW9PvqMbm6KgG3Im1Oi7XuJvrfOKNi0ARfK+9qQaFLdke+25eHj6PD0W6VBkBoWOUZy4JAQGhUl6qRinVX+DiSyL8DmleiG2HXzKycVjYxtnsJX4U/WH2LXvjmgDMcg3NJEuwOTrJCyhrUaR3sUT/6EpWihqUPQLziIaFH2bdNFDpn3bZVB0GpQsUdtAPVCun2d/lC6eUQZdHpTXsCXRd6SzmVw8HOJEUNfUwKDnef3WUwG4GSgRQae2z0eIh7o/g9u6jsMMrMztUvKAmzIo0vYwbpMXDOEr1UvFa1aqSLpGyqBAtbjp3JTm0HAVipGBtKqJcOiki0dGxKC0rkE59V9P4L3n3oHBRiCKZAmDwpuJBoX0HwdRiJxJdoKp8pcEWYPSTrFAmb2yJWoLHBgU8d0K09XtLttMR1dFlcEpIlklgzFPv6P70QFcDjNO2tDLMgNFzoejww8qFwLg6TNpNnXGtIgQTGmzLTxVhuDiYQwVT9SHMMnFIyRTJO/VNt4K63UotgpfchDJ2hmUTVgf3uY/hk+8cFLSsPS7gUZodPHUeGTM28aO1MWj1aDoXDx6DQq9ds3o4nFkUJRQ4nwDqziIrsegQamhiQ1aF48mOIDp/x6tGPcGik6UWTVY3BGDknUC3WqKvgB7xAZK4GcGiv0lVN0OVFg6y3umcBRPciZfmuS5b9bF+NVaWkOGCwyKuUenNX8szIcpD4pu8O6si0fzotLJq2COjAvmPIeHFq3BVQ+9KAxmVIMSNlUGxTWTLM1l4GqgvLRW3K8RhIVvG0ufocRgUA2KdK8CB5EsPV+3n02uzK9oczGoLh4RWm0ND4V7PRn9OK6SGd6fqvwbX6v8RXHf5rEZH67cjF3Z88TFox8bBKYVHnr4ANDMXAtFGBQPJIqHIXbxiOwQdYuKafTdK/RSTGRDDhqUvDwoEsi+/RYXT62Qi0djoGiYA2qUmOriFAkz1rdJhD2Kp/gY9iX/MtzVdSymY1V0Lanf7/u6rQFkYcYu15ATCI52jCsDRfc8kkdqcvGIg7WoQdEaKISpSDJgNr1MJGganDxwyUBJXDzFongUF4+JQfHNAkHPqygunkiDYr5ualBJA6lgsRsGdD2DIk5SnYanyZ1QFBvqgTAIiwxKYjAU+x1yqvseVrzyLgfDhnrQRi0emUExa1CaDgxKzct+9zbTujKD1KuAa4YggQWUNDAAdfGY7+2+/iM4zL9b2Pb5ytV4p/dAdh24ZZvdhK1Ln4moQclA3+tJbANOn/9u4Nw3a793yYNCGRTPkw1qMYpHzLHSmoEywavnMjuFDRQy0ffXzS6epPaX7b7oXDymPCg2BkVk8wwGSpAT2ag5V/S5sy6e46uXYiu2Gp+u/Ct+B8VzVGqRhKDKIhePUppAM17TBcHoN0/GmYHiyqBUBNV3FuaoVDPW5ERIOu2FH39Tui3w8w0UZjRQuLSPHXT/iRhIf7M8sNgYFPhVJKnaqYFiQ+biEdtCPwu/T3Dx0NUgV85TBJ/3r8Kvq2cIz1CbB8XC7riiEYRiJlmiQQkbsWFBNShhM9dISUSyCVwZFPEcDP31QEl/7wqZQaG1VeRBOXDQZHSRLMYTKllEC/Mq4LpBNCeKJxWQSvu5UEbv9u9J/2bytQzoxWD6TKjujBpS2vf65QXa7/P6mo8QTeJa9T2mFFDUleNgjgaXDr1syKldhRga8o43uDmKp4bExeNmwCcwhRlHGpSMvaoZwoyrJrFy4FZBXh1DzO1vp+xCHRWtSDYZw00aFG07ShfP6IXtgQjqbkmDktBiIY80KLPY09iDPWMUyX714J2w/85bpNtoAS+T1c6g78TF86BE+3+5cike7f4Uprxwg/Y83MKgwPPTlW3i3/YYs9+/JESVuAA8WCJABEFj51w8X6v+FQf5D+CdJBxXPvqU6oXY9MWbhW2trHCaIRcZFIgalIcWrRELtHGRcdFBziTbm8OgHOA9gF9Vf4ppWCdsH6g3hynVvcyg5E8qVdInuivkefsV6IYgMdU9VxYWGYEi95H8H0wzMzPGnQb1SWxD+kwCQxSPzFzK8POMGQKPcQSpSJYpidoiF4/KOuprWrmhB/Xce6ErSWEF6ftffdcuaUFWVYPSqosn/kNnoFAGxZCozZgHxXEsYJrrmtG6gbKe92jDjJP6RjVEixEXDYogeB8DFsq4TdSmfqd3OTBw+B5DM4yypnqNflze9R0AwCcbf1XPg1BJkEXDjCcYJhwG/WBZdOJMBv8vV6LInFfd+S3gbR9QGJTQxqB4KoMi541RDtGIZGXGx5RJVufi8QxJ3ewQjSMb/EBkJjxwZYrRLFoENINQ0KDQVP7PLn0Z7z33DuzjLcLhsS24ev0gljT78Cr7jxAiQPIYlN/VzgCQCeaA6C70DxV38SQaI9m9ZjdQdJOWuE+NMihVUjjPq2jZrTwNijZRmyODIoachrnGAgBMw/o0ikcUyeqNbB3yqhn/I9gHPkK8z78zGkNoJlkmirpl7Uzyd6vuHQDo5oO5Y01uWQwZ5B3fccvJWD+pB+jXRfFEz6Soi8c1UVvNmAel4O9R2iSikxoUupDtR2ygSP07jBe+qYZHEe1q2iHViBrtKBkUnUhWEtJVvIRB4fCbWZn4SlOtyOqTwSVB6GVsxQSazEuAaAEnTZVXZkVFspwlKfMlF09FrBArgE4ciYsHeRoULvwbXVPMAupSLPAN3tO4svatNKV13Ajj9SjooEQnbJf3UHe+Sk4mo3rADSWOgdVr1yvnvfS+hbj2YXMxRQCYyZZjm+s+kX7udXTx7OXNFz4P1JuFXTw8eYZSdIxAC0v9S2egyPeSalB6qiQPiFfRdiqbgQRk47SqU3IwUMhqepOeCnbaoteyd4RN2frUxUMZlDyjI24YAHOF9ATfaxyNR8JXp98nixwdgxIZVqpR72JsmdDNB3OP7yo6oSfuT+YL/8rJJN0YlPiU0EywShSPbKDoo3jaNVD0RQr1KPpskmSGADCALq0GJWHBk9+haFB07RhjGpRxz6Akj1RM4COukhKrk3OOJnWaN1U2ZBPWh12WXgnghGwjOWSiwUCRRbK6gc2FTVFeBC+yQZmsTPcsLh6DBsUlikdkTJIkW4ngj7IresZqP/8h9eTJQJCzQqZRNHXBQMkfHHQCM92gQNEMQqPLJsm9IIuG85idj1ZuAkgC0AnMzUCZwVanf3MwLFw1gFvnu4eZAtHtbQShwmD4fvZUFQYlJ5INEF08PT7p0wYGRalmLGtQdIlQHBkUmqitu8Kwzw6bAKstByBmUGiitvjVEN3CZvF7CDXRmgyOLM1AFGZMFiuMCexclEmWnI+1z6DUwsFcyr9lBiUuFplEBsqp7mtOmWR1Lh4Dg8JCwRDtQgOb42UMoSqwDMZMsq7QXNeEormWklxB2blVOjdhwZOoU9XFo74PwjMeAxTKuGJQbAtiE4PCkKX65hB97qypnzze9ewpUfGy5Lrk3JOY3kCRXTxJe8S2uDAo0kuXrF7kEFfPA0w6FKJBSV08nl2DonMPeAgBEv1jiszJ89+nL2aOq2cSy0SqRarHKm1DrAnKeYFlkSyFLnTSZ24uBYoebSGn/In46odexJBj5d0EzZBj1vdvQEh/kxRFIxsoDY0GRd6nQlw8vRVqoPjppCUeT84ZBhqRbNw0JYqnmIESlePOn6SiKJ7oPaL3RjQ+9efR6UN0Ye20FheN4kn6oJzsTtZt9WAQ01jG6DZZsbVndVhcPHGbk2ecMijUWAsyt66DBsXFxQOIrrxN2Trc1/0FPNz9GbcwY1dwecwowqDY73VSUBOI3he9BiVhUKK+oCZq07hPBQ2KtQmjAuOQQeGg6/ys5o3espZdPB7NgxBYVrfEeKEd18SgmCIKuqR0zPkGivR9yoTIhguLDBSdYl2jQWGwU4I6IyS5p1XfQ70ZSlE8DuF+KdwMFHpvTeUKTFDqajA1G6iMRsDNDErah2RqvpjRoNOg+AjTrMNr+ARMlVZblJXwWLGMsn1DTXhdtI3cWounqanQrISRksm1uwI0iQZFRpTzwe7iaUeDIhooZgaMYlO2DkOxgaIY4DFMxTiTffKeO49jcKJjODFQou8pgyKLZCsI8FDXp1GLmd8m9xB6FcAhc3GCarABHuw1w2hVYCfILh5PNVBqSgiw/hkmPSAgtXjMYcaii2dnklFXcJUVzH+koIBIVjUeuJY9TDCZvNM+Qi2DwuL3J13MyqfTiWTJeqDMJDvKMIn3Y07tyzip8qd0W16YsYcsiuDiu1/AU0vXpN/5BgYlOjAbfGnODRNlLwtK9V3HIcxYGih5yqBIWhbmRa4c7UmINiBu++f5JZj6yO8s143/1RkonmoEeoKBkjNppy4eqtFR7wRlUEwVqU1QQgZzopYARKGghuRrycBLT1GBmu0xD75mEKUD/IacSYVW7HaFXCDTpkHRZZJVGBRyTI/PpTwo4k2+u/tYvIqtItdXXTwJc9KKBsWXxdcOAuxNsB69sUhW17+jv/XnydgB+3VCYqBEYcaJWzR2+5B74CMUfkcNzdQ4ARBzElkkmAv85obcNroyDkEy5iT31hM1KPQ6co4S02IiY1B0L6V4jI8Q3UKq++zvXLa2CApoUA7x7xM+543jUyEaKFoGJWbJkj7W5UA3CDmNRr99Mr4MlMPq12AbbwU+W7km3ZZpUPSaCI+FglhyyWoikg3d9AF0IBXqtRB48RpKd4zpXDooL6CnN1DALC4ev0oyyXJsx17CZ/jfsfntJxuvy9J/1QH867N3BgD0kgRkTFgB5gx8GheP7t2i97ZdBgUM+QxKkxtFspmB0h6DooM4wNtzNuQJffXnNzMYCUPXRBLVov4e+TcKmWQrkgZF4+LZ13vYeH2ADNPCipI7MSjiiULj86OYxAZQq8RaLoOBYpr4MhePfWKkxUIZsjIFOgZFfl+6pT7QhIeQFTNQvMYAKjldxRyWKyIt7ZEyKPFYwtQ8KF1SjpI8sbGQqM2gTZPvD2Vp2nbrCE2Krv+W7TcBYB9nvlP9o/A5zxikGpQKAj2D4ouJ77p88QHq2uMxhqlYj3/WvoF33v3x4u/MRsa4MlBsg4RpsGHgkkiQrPxtLh6uNzboKl86IHcilROf6aCKZE0aFN+iQamkgwrjISYIOgh9G9OBVDCyor8/+l/b4tYT9sOkLjq4EJdaXn4FHYOiYRaovsdUIMwEpfBXKpI1oxGaXQTJb5JFsraCaK4wDfAJOBFy5xlZOqjF+uiqSxQr6qN4pN9IjONun7Tf86EzNYUCiVzt81n4dHEGRQA3u+goJmEAPgNqFU+rEwPMLhw/1QfkMSiiSFZmUCgLVZPel24mGigB/MIGCurr0ZVziKuoNM2cLYlkdS4eOUeJ6T6lLh4yZaUV2iUmQzZCqGFV07wvrSN6Rhce8yac979vSPv9IDcw0wR5byWN4vGQRNJJ/dtLIjSj7TXJwtwzeARnVX8hbPM9holsA3bzFmKTtY+PehplXBkoevW8xsUjRfH4wgqSMC02BsUgpptsYFAYYBz86LV1EzOF8oKndKvs4vGtLp4k1T3ngdASMwUbQRGn8miQ3XbTCVEm1RSUsXLVoND7o0JkUNyLs+nOF+V9sR9z2QNL8NzyddrvdC4elygeF+QZKBSVtl08IWrhgPJdooFpakSmyntGnvvEGiMMSlVrcm8hGCiWVPeSK6r4apA7uXhqLIAf1tHliwaKqcAohWsIMAcQ8oxhyEKp4/MI0Sfi+yKzaE14Kf3vjKH1qPn2Du/KPjQSA8UQZmx08TBuvIbOxZOmTlAMFPFZ1Aw5UdpGfN3eWgVv3WHTtG8MwhIhGSOPCZ8sMCjxOyD31TSFRLS9W2Ngvs+/U/jssUzX1vR7cts50hhXBopucteLZCUNiiASJCsZbsnyKTAo2d+TJUFjtg8XRFu6ocJnar0FGcpAaYzisTAoJMyYSYO+cYXD1O8VY4YKjNuN4tFY/lQkWymoQVFrHuUzKABwwS3ztdtrmtwEfoddPD4CrTiT3vW2GZSH/4bDrnkTPun/K/5OpNp1DIry3Enfe9M2k7HV5NgwNoQZb87WZh+kPCwAid5pIYpHPFHoXBiu0uxHreJBTpiW/Z0jks1hziiDItbdiccnQXMiGqWyi6clBmUon0FxFcmmiSldGBSp7aaxQBfF4yf3QZq45XNQNrXKOmmgkHeb5KqhOZhMyBvHqSHlI4h6hmyA+6IGpWaYzQVD2vdSAyWs5OcAGmmMKwPFtZiTLLCkfnz6cskDgwDCWHhClVUTgyJqUHQKcxeKVfmNqYtHdv1UrC4eGmZMJ5Fbu47D27xH1EPiXeRwyh/65wOXfSZuAwmZJvenNZGsCuriEev7tMqg5E/u8rn7MAGAXoPSaQbFxJ7Q59WKBkUYPNdESVm+Xb0YADFQWJK4TP09ym8kz63KOPbZfkq8Y+ZKNKJ/BTa5+zRsz15KNy1Y2R8bKbLgtQUDxbH4XaWxHl0WF0+7DAoNMxbq9sS3p2JhUFQNip+J410R1DF9gvukaUNaaFTSoCT/Cos86ZynVPVC/KQXCwZKcn7puctGiCmrbNsg1614Wd8Y5PkMSh7katXanExyFI+BAaOpCqb0VPGJN28ZbZ84ue12DjfGlYGihOASmOhaBrEWCB2gepjNQKEDWXZuOQEPPW9+sa58BkWZBA0aFOaoQZFXJ69iq/Cn2qnKIckdoteehAF8wLsFePhvwPqlQKgve54rkr3kaODlhbl0PHXx1KiLxyGcUAkDdBDJRseJbVrjRZNvFB4up/pvvZib7pomgSy9aisMim0yTe5lMlG4RPEILAUPsr7o2d7IGKufxdT7z8E/a99IN9393Gqce/MznWFQHMso+I31igbFJZOsjxBdqDsYyWKYcbY1YXgzyJOsPA4F8BB6BQ0UADtOshtrri4eT2a4YmOJ5WhQAOBQUsyRQjfumVw88v3pJRP0cIhkAaDiZ+UIOsKgEJmBz4LIUJV1/J7IoFQ9fR+jqQqm9lRx6M6RYcJqE3PbOdIYVwaK3sUTf0e2KXlQfBODYnHxOGpQnsT26T757pvQwUAJxImrZQMl+s27D87FH2qnWa8JZB4XOT9DCh4aGZRckeyyR4G/H5OvQTEwKK2EGTOHMGNAnZjWsKmkDQHoqNIpF08egyLs224Uj+G7hEHRFQu0uXgQNrN3w9MXC9RBrmF1xvXzlZT8wxXFAwCVRl9soKgs3gysxAH+g9rjzqhegKe6Py66rSQkRfQSFw9NFZC+V2RbTWIIdt9SDDUPeAsaFACbV+1RiT05EWMJ0gVZ6uKRErWR35IXhZadMz4VNQqTPC85Lh5acHPYDBTi4umEBoUu2lINioEdT65rMvdpaoupvTWgHi+SaxNy2znSGFcGin7gzdOghPA9T/icwPrCcmqgEFZBiuJZz7JOQtvQ4OoKKPVFWhCt2AhTYUrU5lnyoBANyuRwrXVwTU+XaFCkjJcp5Dwswv12oNlXPytF8ai7UCqzWjiKR9LaODIo8mC4zsto0xoaYnQYK54HRYfknPLqM0F7GhRuZZyS9iciWcqgvJk9gX/WvoE3ek9JpyT3KKQMSibGbhvOBSXpMW4iWQDwYwNFl6jtzu4v4YuVK7XHvdV/PPfciWGidfEkeVAM4xMA1ELReGvJxQPAG4oE3xv2PhF/bh6gfD+TLY/a2bu59TzpeGdI1GYSydrPyYV/AcCHm4FCMRwiWSBa0BQxUHIrR0sif60GxYvG7+h95UZRP63nNa23CtTjLLWlgTK6YNegEGtYieLJ9vMFA8VRJEsuS8PHACBJqCSnuv904yvKKZ0YFBaq6bwBjUjWpkEhqe4dkSaUMtHeoTgQsSIiWSCadbnB+IlBV2NF86DoErW5aFDkdvR7GW1aQ0PJm9ERkWxsBB6x+6a5+xbVoOT1r8R4SXJaUAPlUP9u7OYtxGz/XvGg0MCkeRXkB1zasPE0KH6jDzVfMlDazUQaIzFQMsG+aoh7Qh4Uqc0NMTt1AK8lAwWD0UKEeZ4Qzpvg1V6kA7p3vd1ASQXwTiJZ17Df6PcLpSPSZyc+B5sRUjgbrkObEiTPbcgpzNhd75PmQZFZXuLGs0kENqlm4+K0CTWgES+SSwNldEH3AJmm44sreo6KiUGxaVBCPYMyUcokG7LM75yc+7ptv4q7w9cpp3QpBjYZA7i7+9js2olhIFHZzGqgkFT3jsjCjIkgEtLKmV7CIURThCiK1D1LIXtk4SgeVYPSiounzrrRjMNFqxLj1WkXzyRff9+EQdwr9hzz2qeIZEm/SiLUemXDPTQzKPrMoPmIilduvCgeb0jVoLgU73RqhsSgeDkMipLLoykbKD64poxALmIDBcxLE/FR7MCiStzP8q2spzExKMmEWkGQ7mNiAdVzRhBdPHqR7EgwKEDWH9xcPHbI6Ro8Bk0UT1XaR98fP/2WLdK/p/RUSxfPaIUubXjS4cVEbXKYMTmHJUROgCFRm4ro5Nt5y/DueOXZCDPBHEXFIcz4YH+u8DnNPaLVoNhS3RfrGl5q6FEmilxTqvlDGRQnv7BEx8sv4xW1b+GNXhby2wkNit8Cg9JgtbSSco01JEq6My6eNDsp1/c/oS8bGJRd2EJ8p/J7TIOYx8UlWSAAcI2LJ2EHeyS9iOjiIRoUv+JmBWpQ9Ty1WGBLeVBcGZT16Kr4Qr/rhOA5akV0D972mi2U8ya3p0bsBWWSbYiLnmabDAoMDMpmLOorz/IZ1tOkqQlkBiVu0w+qF+FftZNivVwxF48nvU/RdSQXjyWUuO0KxhSGVPedEMmqBkoeg2Je/EzxCYPSWxtTLp5xVSxQ1ymY5jvR/ycWS6MCL7uLhzAoFj93qDEEmlxfc8J3WG8qIW4JgyInasvNg5J3JQ66DtCJZIXBoCneK8oGVfJEssn1BBeP+Cz39J4TPhetZuwxLrz/LplkdeeODJQKejGELsgGSmfzoNRMBgotLGcwUP7VFUXFbM7W4ouNL6Xbc108CoNCBOCxvkp5L6hxvHax5OJpbY1U8ZmYo0cOO3aFI4PC6pEGpS5pUDqRmTRZjOy/81bA83I25uj5TerykEgJFAOlUwxKXFuMMb2BkiDXQEnevYRdS8Y4MqG+zluEndmi9jQoXJ8Hxeri6WQmWUOOqCEHBiWvr1IhdAVBNNQqGhRS780SITjFy97HSIMSMyjV0W+gFB4d5syZg8MOOwwzZswAYwxXXHFF+l2j0cDXvvY17L777pgwYQJmzJiBo48+Gi+++GIn29wytLUJEgZFyDMgGygtuHgMYcbKbjoDJYSWQak6hBk3JGrWzqCYNSjIWYHJVXYTDYrRdaOrmqzbzwSZQSnwgrtR8dLqBExI0CfjNVtMxPabTVASpTW8roxBQVN18XQw1X2F6wdb4RnkaFBeSyq9ysfazp1pULL7nESoWV08t54GLLo7PlnrItnod7XLoMBY7FGGV1+vRPF44JhgqE5eqAlxL6nVYtGj4OKJ/p1IsnApycakCbpVkWyCyEAxH/8St2ufMgZFNFCYFPo8na0qYKBE0IZ552SSFb8bPhdPMoe4aVDscGFQkkRtQHRfTOMcjYCLonhewRqU/v5+7LHHHjj33HOV7wYGBvDAAw/g29/+Nh544AFcdtlleOqpp3D44Yd3pLHtQs+gJJa53uXAEFpEso4aFMvAqas62uTMwKCIYas6KMnjUg2KxKD4FaBi1qDoDCeKqegTD2FJGw0GStPMNrloa1QGxT6RFk3UJhs807AOM8Klxv0rvoeJXRWNi6cL9ZiYjNogDqiddPFUDZmMk98yiz2Nz64/B1OkZ0XRlIYAVxdPlqiNMigOLh7hZPpMsi6IqjS3qUEBChkocqp7Bm6sTl4EyT3orom1VQCkReI246vTbXmTbABPWF0XBfM8pV9Q5Lkw1DBjUYOSYCu2uoAGReNCTqN4xOf+rrhysM7IkkO024JcvG+4woxZoNegECPUpkGhfXRSd+WV7eKZPXs2Zs+erf1uypQpuOGGG4Rtv/jFL/DmN78ZL7zwArbZZpvWWtkh6BkU1bdZYeIqiTIoznlQDGHGym4aQ6ARRkdxMMX1lDec90qTA0tWuLKBwhwTtRkwhfVjCc/U/Em7fMHFQwYDi4GSm0kWUJJq5U2k7UbxnNn4AXauP4t3sx/hcb6dsn/FY5jQ5etdPLwCMDWKp9JhF08ltGtQLu/6DjAAfLPSjxObn9XuKzN1ee1Lfk+yQg9Jv0oYFNXFYzJQ9MUCXVD1PSkPCm+NQQnME+RQbSouHNgHn6v8E6w5iFpNTdQ2EZ0zULqq0cQvuHgYgFtOxRYr7063bcrWW8/X5O0xKGCelsFNUOf2aSN9LgaRbIIZbJWzjifJYSW4Lw3FAtN2et3oCcWoyeEUyRbVoGzLlmIJ3wxNzTQsJJpMGBRZlEs0hAxcKB9C0c0H0VvzUW+G2GJyFxHJlonasHbtWjDGMHXqVO33Q0NDWLdunfDfcMHT0Os68ZVwDDgqHsNk9OFblT/i9SzTOthdPG4T0UJ/e2VbUsFeNl58hzBjhdVJGRTJxeNb3Dh+fhSPnBE3aZcvGVQpAosx5wJpAipmoBRnUHbmzwIAvlb5K/6ffyVurH0VmxBBqe8xTOyqqgwKdfEw0cXTaQbFRSQLANt6y4znkqM18jUoiYtHjOKpoZG+D1YXj3CyNlw8PhMJk04zKF2T8e933Y6FfDqAaNLV1eKZaChdYcIRQ99Tm5AYKLGLhz4Dxhhw648LXaMjDIomD1OCeocYlOlsdeFEbaKmS69BSZAWLSToqIvHEGbskur+Xf59uLXrePyq+jPt9xUpzFiXqI3eTx8hPANT6TX6ce83D8QDJx+EropPwozHeS2ewcFBfO1rX8OHP/xhTJ48WbvPqaeeiilTpqT/zZw5c9jaY2NQTAOzx0L4HsP/q1yFT1X+jeOrl6bfWUWygotHfYGGeAUnND6DB7veqHzXSN5vaXVZcdCgyKwOCywiWdPk4Pn5BoqUzyURlFLBqyB+tTAozhB0PTkalDYZlATv8B/GidW/YUfvRXy2cnW6veIxTOzyFf1M06ulOiCZQel0mHHVYKAwWRdjmWxkMWSeAZUyKPEEmETx0DID3TJtbzIC2siDonXxdFKDwhg4y+rjMB6gq+JJBidX0gbk4XG+rdqE+KzVipi6HIAx+ZYNTfjgLaS6T8F8qwalnkO8mxgUyC4erG4hDwoNM9ZrUNJ2aqr1dkIkm6QRaIdB+VRcfPMAf572e1mDwjQuHs/LCkx64PC4oS8P9WFiVwWTu+N2lWHGkWD2gx/8IDjnOO+884z7nXTSSVi7dm3636JFi4z7tgttPYd4MDdNUAxRNeNXsZXKd/ZigVSJr75AD/Ed8PdgP62R0IxTX8sMh0sUj+ziMTIonuUl8vKjeGSRrLfyKfy+ehrewGior5tI1g1FNSgiRZoHFyEtdUX5HsOErorq4vG6JZEsMVBYaK0H5QpXF08C24pXNVDcNCiJARvGDMpkZmESLBqUVsOMtSLZTjIozAfnUdr46PyBJtU9V96DPOiiY9KFCFMzrb5l1RWFzh9dw2+PQWHM6kzOZVBkw8FLRLJim7ZgL7egQaEunuTZ6Z97wLoQcPF3dIJBSX9/GwZKkfHr3f69ePuKv0BhUBiQJNT0LAxKqjmRP49XF09inDz//PO44YYbjOwJAHR1dWHy5MnCf8MFbXIv1LG/96BKS5NjKh7D83xL9VjbyyWEGavXTXy8zKhBUV08LnlQVP+/XiQLWwIvr5IfxcPE6AVv/r/wDv9hbE/cCRVHDYoTcvKgyMgiHbg2/40MgVY3DB7UPKz6HiZ1qy6eJutCnWcGiuAz71gelOic1VA/Ocr9/AB/Hj7q36DdN1kpd6GOHdliBwYl+j6Ma70kLp7JEqMmwFTvpoWMxemhsXg0RccZFC8yUJL3NGyi5vuKBkV+D/KgM1DSfpUkbYz7zO7sORy++IxC5wdi4XM7UTxemwxKco9yNChdrOHMaOiieFKWwcCgcOYpxlRu3S8HpL9fCTN2F8mK7yjHh/ybsStbmG6RI7Vmv3iuRpTL0jnCRwhmYlAa0uIhyXfTNSm3nSONjudBSYyTp59+GjfffDM23TQ/HffGgs5A+VblT1YrPhEoreYFDaecMOOkQJhnCDOODmzFxROtqpfyaZjOXgYMIlkwi4vHIQ/KBAwhb8U6vAyKmwbFNdunOZMwbQHJh+MxTOpWGZSmV0sHsOFy8XgsxPZ4CXu+dAkA4LlwOl7tZRFHut98SvVCXBwcpGxPGIJ/1L6L3byFOKnxSeu103PHk00Yu3isDIrRxVNFqy6eZigxJq0yKIHFQAGJBAkDTTVjXlgky+Eh4Ewwmqf0dOE/X3wH0HgaQObi0bG2FGFtEry6Kphtl0ExZZIFEDMS9meWFgJVNCjSgsuQqK3JPSV8XxdtmSVq0z/30KtgCFVBl9cJkayRQYnb7BJmTPvRId5c/Lj6awDAdoN/BmBKvSC7eLIxyUOYpZSQQYXgzSFgw8vR3xPVRfdoQ+HlS19fH+bNm4d58+YBABYsWIB58+bhhRdeQKPRwPvf/37MnTsXf/rTnxAEAZYuXYqlS5eiXm93gmofukktj2JMGJTCK1+h/oh63XQlpXEyN1IDRRbJ5kfxdMWW92PhdnE79BoUawSFgwallw0WyoaYJIFqGRKDYkt+B2RGRq5B4KnCRFNeFsqgVDyGyT0aBsUjYcbSaq1TItkKAvy6+lP0NteAb7UnzgvEMP4iGU6TfribtxAA8CH/Fuv+aaRAEsXDEwalNRdPqyLZRiDlfWg1iic0vP+eD855NlHHBopcW2ligTwoiRZIXtXXKj5evflExcWT11fCmn4F3ITXlgbFlqjNZLgIx8sunpQZEs9ZRVNvoGiuYXXxmBgU+Oq97oAGJTVADC4eJwaFGGC7xO8ehdYVpWFQknB/j1kYFGq49MUMt18DeqbltnOkUdhAmTt3LmbNmoVZs2YBAI4//njMmjULJ598MpYsWYKrrroKixcvxp577omtttoq/e/OO+/seOOLopXJgYHD95ljvRiCHA1K4uLRMSj1ZGEg0bSRBsJtEB5AVIKdhc2oY+uKBRpFsvlRPBMwWCjZEJqdZVDyDI/kBc+drP2qsp/JTy0zKJO7K0qIdNPrtjIonTBQNsca7OjFyQ8/cgnWcNGXXEETJ1f+oD22B4O4ovat9HPrItmobx7n/x1vZk+kOVC0sETxyEbyeq4KG3VtawShlEm20xqUqEekRmnYRJeiQSnm4kneecVFkrxrLNMTROe3gxs0BH28p+0oHpOBYgs/Ji2Ld7a7eKpoaheIDQ2xr3PxmFLdp21lnsJmdIZBSVw8epbHTYNij0h0ScnvMcqgcDMbSPv4+thAmbhly/qvjYnCvXi//fYTa2BIsH030qi00DmjasYtMCjCqtHMoMi0JwCsGQy037kwKAn6OQmxo/VPEjAbg5KfB6UX+QyK4EftRJgxuV5vlcEWRJUZKDnPza8CDZFByXPxHObdifeuXga/+xSsZrKBQmrxoCGs4Drl4kkSLzW8blQnbamsErvQwCcq1yrH3VA7AY/zbYWyAPJqNb9YoMigAMAlXT/AqY0Pmw8yunh8RWdl61FVNNM04o0gBPzh1aCAk/vDVRcPAwq5eII8A8VLGBR7ZGHadAODsh69iiC1ECwuHhcGxXN08dQMDIrOONIzKHYXD2cVxdjpjEg2OWfrGhRj1fcY2rlKytnDWGYw+q4unr7YFTwG3DvAOKvF4zsWBqPwEIUZF55YcjLJpuFhGhdP31AQfyczKPkalAQbYgYFQNRBdSJZqwYlh0Fhg7nsREddPBKD0l2B1UDZzluGD/fciys3vN5+Wo2LxzSIJc/snNovgDXA/NWHYY3ULwIvE8l2oYl+iUHprTK0W68smRSbfjeqyBctJniNtwSvwRJhm7witht05HlLE2CnGBQbb9CFBjFQJJcOZVD8LneD2KpB4dn9SRkUUSQ7yaa9kZDQ8UoUjMSgJGNN3vtlYlDW8962NSghNzEojkskzgmDog8IMLl45HIdAM2DQid2u4snZL5SF6cTItmUITHV4nFKdW+LSOSo6drZkHJPMZaKzBm4+T0TGJTYQJk0PbeNowHjq5pxC9YzQ0TnF66hkqOXyKJ41Bc+hIfemq+80EWMpH4QBiWoqytFG4PCLMZLjAkODEpnXTwQ76lDivJT+VnYcmLOQB1n0xU0KIZ02BwikzbRbyrPJPC70wG2KocZI8SEavu0auJWaHiRO8RlQDRBTmlu62PChCkZzxtDg0INx0agEckmH3d+t/M586J4Mg1KiJqUe8VnXMj/kodaNeqLSibWdPYVNSi2DNRRA6pARXWJrUP7Boop1b0LgwIgmizTMGO9i8dnHD0aBkqXWRUaBsUtiqfza3CTSLZIqnubi8coJ2hIkZOMpcVmfYRmPZVOgzJGGJTxZaCYREQWtMygCJ1XPTahMXUalBAM06d0Ky90EQZlgBMGJWzqRbKmyYEx5doyJjiIZMUons4majOGrkrYZpqaTVKARKsDZj91CIZNSTbZ7kmbKnWEmkIm2YZgAkYuuvZdPG/YMmrzhIkRxe/i8zZBZlB28pYY9pRWegqDYoviie/R3scCr9pLOofYB20r9CqaOGLWqwDEGhRTFM+eHwX2+ri5PcIFDYN6GsWTMSiyiwfI+d0SeByarWgsUhdPokFJXDw58CpAVTVQ1hfUoKiMjm/UmrhpUBA9DzlRm2as0yW602WxbUkkyyptvRsmNBID0xBm7FLNWFv0MIbRQKmLfY2BzCPQ6AwTlAzK2EBhoStikayDgfKhoW+LGwQGxezi0WlQOBgmdatuFp85E6wYQi1LUhQ09CJZK/IZFBq3r4OYB6WzDIpLkbc+9GImMVAOGjpd3Sk20lyieDgYNmNr088Tar6SeC0UNCgqg2JMplQAe28d/SY/TlXdziBsEkPqYGNQ5MzCApJntcUuYnIojVDbVjywypp4zZbR8VoXT/LZ84HDzja3R7ig4b1OqjXzzEDxNNF8ctFM66VYokFxdfHkRaBVtNlA16M3KgbqiAaTJlTG2tKgAIifh6hB0Roomigom4uH3pNJaZ8zhBkzvy120QSzSDb6PFgwUZs8txgFslI+E4+x9H2JGBQHDUoSYtw7etJ/2DCuDJRWJgeXMOMHwh1xD38d7t3jlGxjTqr7hMbUJWrjYFjdP6S80LLLwIYhVDOqNNRoUJgfTRgy9vhI9r0Fu3kLcVnXd637CC/aontyWuwAoThc/rN8ls3EdsRA0U/GRAUfwxjFwxk2Z2vSzzUvUAYXz2MYMkTxeKwzUTxIcl9UIwNlLW89ZXURA0VIZldEg8KJFoGu+DWJ2jiAC5rv0Z6mhmbsZon3FfoDYVA6EZ3g+aKLhweRWJ7JDIrld2vOCdiieEQ2Ly8ZoYlBWcd7FQPShgZTDSZTv3DuLzxwYlB09cxsYca0D07nK+JrGRgUzx8WBiVlSEyZZB1q8dgWREYhr+TiYSx7Hj4Cs7H98gLgokOBwXWZsWIqFDvKMK4MlFY0KEmiNhuDktCeS7Y7AnjNwdFGjYsnJGmXk5dQJ5INwTBzWq8y0LoUC0xQRyUbCLUiWR/Y9UjgkB9l27Z5K3BEXJaglSIgEoQXb/WzbZ9PdPGYn+XXG58CEJkeH3xj5BKQU16nSAR8DlE8IRg2Q8agsFDNDOsxllLAOg2KMX/L+39n/D0KhpJU1ZGBsg6tGyhFnrLwW6XJxqpBoVerENejX1UawMFwavMj+MqEH0FGDU1UfQ+zvXtwbvUs1ORMumn/6ICBwjxsNrEmiGQ9xpT3z8ocSTC6eORMsqkGRX3Xf4sjsg+ep3fxoFeodJuHhuySsBkoMaP0UPhq+0lp9XGJIdJhA5nUdVlsdS6eLfmq7Fq6JsAfFg1KyvBI1bSTtrkYcXQ+kYXCrhoUmuo+N7/LwtuA02YCT18XN6DzhttwYHwZKC1pUCIXj9xpaCdMHC8Vz8teQrrCjwdOOjAlQjm9BsXDD963m8JiVAqEGdd5lQj8NBoU5kUD3Fu/oD9BO+XaY1Q6oJgXILh4zOdeFWf99cAxuSuuGQNPb9xpXDzmKB4P23jLhTbIhitjLB0Uu1hTWimFWZZNpR0F7ndSSyOenN6xS+sFNotoq4QQW2mAc9JiME8UdXoVDYMSZSpd5qk+8iqaqHgc59XOxnv8e/FfDcLKdZpBYR4OfN2WeO9e20SfwxCepwoak2iL9wz9CG8dPMd6ysTFo7gdpDBj32Kg1AnbwbwKUNW4eHixMOO64uLxRCOBjFHJuHdk/Xt4IdzcfFLBxeNgoBAjye7iIQwK4ky7pjBjT43i6QQyhoe6GLO/QzCc3TwC/wjebjwH/R09Uv00M4MiaVBIMcvC0UntiKg3IsaZgdK6BkXJGEqMjcQPWPVZNtEIidqizkit+aST66J4PvimbbDD5hNVDUqBRG11VLIXyVWDIrzo7Q/ynS1tDmmlpL8P3258PH0ejBxjNlBUBiUxrORogn28R/HlymXZhrApimQP/iE8BiEPilj91sKg5IR1C0gYlNjFc8FRe1l2tqNlA0VyIWwaM0sbbPQ2Y0CViJY1ItnkCnVNs6poYvraR/TnFvKgdMZA8TyGY962Q/Q5ZlBMLrr5fGu8BLtfP4ir6+YmamNRzh9t9XWh/zAjg9Kui0dws5DCoonhEsDHWhtzFwaZkD118ZifS0AqD5tcPF+v/AVv9R9Pt22G1VGYuCXMWImY6gACyqA0h4BHLwPWPJ9dFx7ObH4AX2l83ngO2o+6ZQbFZGwoUTzZ4rhIRuPo4NJAGXVoh0FRaq6w7AEnOQMqNLdIvR9YdF/0ksYvEF0ZpAaKRiTbFYcjypNWkSieOqrZ9UKdgWIfwDrg4WlJlGzFFf/P+vXPm+/DH4ODkU1TWW6AEKZ6SqoGJYniqXtiBBAdHKOTNvGazaOBde17zgf2/iJ8j1lFsuaQ29YZFJ2R64oimhghAkka4JLaMiv4FMsJmMigME9J1JY8j3qo9vMaa2L6yjv05x4GBgVA9jt5EC9U1HZt4DVt9lMZzZjtUKN41OrlnsFAEXRAPEzdfBR96C4kkuXwBCNEcfGQZ0232wTNUemBfJFsgmlTsn6ju5c9GMLnKlcL2yoIo8RjxkRtw6NBySpch8CcnwCXHgP8fM/sug4GchdJZdAFUYfjzKCApS7IHdmLDi0nKF08ow+ew4T5RLiNdEyIitZAyR5w6uLxWfYyXvcN4LcHAnN/m66aqXo/eQl1Lp5aRW+gFMkkW0clC9cLGmo1Ya1LIXvRu5rrNN8XQ8cNlLUvWL/eEGfPTXUDjBMGhWE1JuOj9ZPEg1IGJUPS7rpnTrsenbSJ6ZMixmBKb3RtxpgxD0oPhsyuqUIMiiiSbQetu3jUSSTkDCthM1A8kUFhauG5ZHAf0ozRVTRRbajF8aIDO8+gAMje57AJj+ndLuvh9hx4nPn1ZS5lgE2uRe6pSRAvVt0OoqR08nXgFc8kS7VBzMsmYcBooFhjCnUiWYsRXqkRBkUTZryzt0h/4NolljBjtRZPJ5COwhzA41cp37vHWkYQ0/1zSxSPyqD0dkW/72vVvxa6pmCQjmKMKwPFhUEZkqx3j+kZlEBjoFR9T5347zg7Y1C46uLRiWRrVf0LXSkkkq1iDeKQzr5laiZX3WBBViLVsP28JboXzWV10SoSwyD5FR7JPpsMrLeHu4sHxavXGVNqmL1bpHuoGhgUBWGQMVNeYnBmGgPZxbMVW23RoBR4Feuii6cdFGFQPuL/J/1blydnCFUx/44MWYMCKInakmc31NQwKGiaI/GGIYon+jeJhAu0IlnAXj+IotobMXhnND+IgSop1Ja0lzzPbtS111rLiHHDQ+CFu7XXKsagMDGqQ3HxZH+LAlCbgeIWZgzEGhjCJOtcPLuw55VtACJWwWKgDAuDQl08XWq5AedcMTG6CYPiIzQv7KRcUowxTJuQM0aZUKB/jCTGlYHiORgossWd5kGRa64QF08y6VY8pr6EA6vTgYa6eBqtuHhYARcPr+BpHkWwYPmTGgbF/uhfmH4Qbgt2w2K+mdP1dNDVk+DDaLlngycRvsaDl9Ewiu/DmR98PfacORVAZljlGyhNJWzPY8TFI4lkX2NJglbIQEmMIqI/EEobFMBB/gN4+H2rnPY9sfq3+C8GT9NvG/CxAbZ7JmlQkm0EyXMa1IzRVTTNBt6wMyhBrEFR3z/XKKqEQVmNyfjbHhep1/KraaRPD4bUd92v4e84KDuMh8BbPhN92O2/cT1/M77VOCZutvt7xhlTGJTQ6OLJxjA7g0ITtdlFsk1WExZ2OgPFWHWeRgvJXzE/LTvRSTRzDZRi/Y8aKBUEzto9xvQLBSeMEQZlbJhRHYKLSFZW2CdhxvJKMyDK9+Rlrvieykw0+tPOQH2rCY2pG+gzA0Xs6EWieIZQxdPh1oAPYMUTGgbF/uh5pQtHNb6B//VvxA+rBUJgCXTKcu7XgLADSds0SO6vTiRrDP1Lo644vPh+JwPEENOvjAd5Fd2sAVzxuWxjUhWZZSLIKPTPblCe3TwC3Zttj8+2suonK+5+NgE9vDXWa/K1xxY7gHnwNf02hCdEY+iOQ0UyUKTfnQzuQwFXlk+RgWIYvB0YlJCreUysbQWyidMiknVlUEKapI7pmYig2oNKfT162ZBqDH3gIgxdUs26VBgAb/4MMGMWsO0+OP6RG9AX1xYq4uJhgMig+FUx1b1PRbKOGhSa6j7HQGmwmvCdczI4QHzu8lfMR30Y1uCp8cZDoFvVtRVliXtIUTEPYbpAanDfGp3jMc2C2BWlSHb0oRUGxRhmTEWyQhSP7pYmIlnq4oldApqBvmZgUHwEYI4DbB1VzOdbRx90DIrO8ibpj5PJuuhqgEJHVYYbgUEJKYOSimRNXT3xJ4epuy1R0ZsYlOV8qroxqenDMuGan3P3LmwegjObH8BtE99l0ATlgDAo/az1XCiFwTz4vtreJnwHF49soOjCjIF6oHF9sqY5Cuqlh4DVzyUn1e7iUiMlu1hsTBCRrC7MGADuC1/rdEouVB8mbST3gFcio7MHQ6oxJN0rxoOoD2y/L+B5grC9iIvH932RQemZJoYZt6RBIcxGjosn8GQDpcC0ZGNQvOFJdZ/dA94ZFw9hh3yEaS2wvP7KAPGe7nOc+0VLkezog5sGRTVQPKb66gOPMig0D4pO26EaKPU0zNjGoLSjQalkBsqqpxUFuHDuj/4D2Gk28O6fZF/H/xZ52Rpcbq9qoLi2vxU0Uw0KicwhYcZapKttng7weRqU5ZimbiQuniy7Izf+3tsP+Re+1zw6a0IrKyGS5vxpf8fix7cKK4NiM1AYsOOB0d+Ttko2Crskz043+e3KFjotMkwMykPhDvnHJpi4RfQvEclu+shvtQzK74NDnE5JDRShieTZh7FG54zqBXgNWyyeQO4j0sTsEwvFK2CgzJjaK4ptezcVGUdivFDxrD2Kx60WDxAzKB51HRVxd5ozqBYVyVqNa4KAMii19l08XZIGJRl/8lLme4yJC81p27tfdIwwKGOjlR2CS6p7NfNgNMEoNVeISDZJNhUxKGrnZGESxaMyKL5GJNtdjc+tYVBcUefVrKJxUAfq0nVox97xwGziSL5ugUFZxDfHq9nS9LNOJMtMxdk6gMRtljypSbwPWBSJCI2/I3le9/0OB61ai8vZIekAERheD20obbwi8b3MUPIRaFfcOPC72DBlRwBzAbRB1RIG5dcTPoPVK0N8sHIrAGA1n4gLmofhpOpfip83D4wZGBTPvupjHjDlVcBX5mtXnhS653VM5TqsW+MyCOuf9dXhW9VQcRMmxEnIyEA+/a7v4ZvSnLEo3LyABoXWIdInQuOx2+513gt4nSdFrTEP1J0h63Go0Vgkk2zV94AhwrD2bmI0UKj7JddAUUSy+v2b7bp4rGHG7lNcP7rQi3w3qWCgaCvVFzNQppAkhz5x8eQmmZMXNkWMjpJBGX1wcvEoGhQOztVwTOqqyMKMNRoUAKwZdUDKMKQvoU6DUjMZKO4MSj+6xUFGriacJ66K37GQq+1rarYBwFK+ifBZJ5JlwTAaKBKDsgVfCVzzFQDZoDKp25Ak66lrsPXK23FV17fTpEdNOYEVgLW8Vz8JEwYluWf0eS0It8QLU94IfPF+YJ/jxARurTIoxEAZ8CfjxOZn089BbB4NC5iHSkXtPwH3cxiUuD2Ttszyd5j0IlLbk9Xt5P4FDu3Tn/PJcCZuDV6PxXwzDNU0LBhFwqDkPJeF3L1sPdWgCJM7aS+vWPQsOQwK/dlFXDwAorxNCao9opFA2kSfS6cYlKbk4inEoHBLDRrGColkB7hbRExqgHB9BeF2IhVpFM9gTk2faNwgz6mI0TFGRLLjx0AJ3Qq1yQyKBw4Olb0IdAaKLoqHgLp4kigeXR6ULkOYcZGQ0D702CeoHM2DjUExrZLrqOLSYN/0s87F4w2TQBZQDRQKQTgrQN2yhxfVDQo09+hlPklbK4RqUILUxZTdvcGt3oxtjrsJ2CxyxVC7tGUGhUwccrh6M3YwDQsMLp4AHgat0UT57UnqVcltvyJ4W5EGarc24eOYxonYZ+hsIXOpFhMSF499on++gIHi4uLhttBxRYNiHg88TZVj63mT0PUYZgaFGBKm+lZA7HqRU93rxxyFQdHkQTHCwqAwFKv0PWCNQMuwiG+RXVvLCLf+3nkI09o8AzmReUweN4pE9JRhxqMMjq4FmVZLjAIXBkWbB4WgqYvi0az2TGHGeaJLoX3w7CuRnM6cXEdn5JgiNUIwfLXxOVwZ7A3AUjZ8mGAzUJLoLCXrqsYweKM3H4A+o+UganoGiUTxBKmLJ2NQZDE0I21UBhpXEMGp7CkMBPOow2AeKhoXT66BonN/Sp+TZyf3u7nhTgXap98cpO8E02SwlTBRdfHosJCrNYOMoGnpmd3Fo4XcZks9KkwrUJ+Jsax8QoyAGgnEQCnGoMip7t0YFJdYxfQdtGhQGHghF0+eQQBEpTRSUTTn9mfQAioIMJFFDO4aPtG6r8cgjuNFWJExokEZPwYKGO7b8gO5e8kMCotdPDJ7wYlINtGgCJlkteemLh5zFE/q35cNFGYWXYrXiTpqWwxK4mbVTfYGA0WOotHVlBjOPCipgaJZ2SVtVuZIzaQ5lUV0N43UotewMSiCSJaZQyDpZX0PxVY/CSrZc+iWXC5Nbnfx3BbsVvx6CRiD72tcf8hz8eRPPCYDpVjRNwe3UZ6BMkESyRqwfoq74cQrchbd9EP2p6a2Trab7OIR3y/BbTh1W+d26c4lRNKQdlPXT34Uj1uiNplB0b5f8jFpLhKeY6C495v+HBfP0MSZcSmNLPIPxGX9l82OzS0YmQefhamLOU/bFDGvdCApXTxjF5Uabtj2K7gz2MW6my7MmIOrDArJG5AyKLSasQZaF4/GQMnyBqgDgFZ0KaHOoknCaqDkWNDJCl/Hwph8o2FqoMQGm0aDIuSCsGHGG9z2I8gYFBUJ1avcUcvzCjQalAYq+jDI1EDJ7rvAeMn0PHm2ykDjCtIHTzliN7xqaja5BTkM2gXBYcWvl4B58DUTdwgPg4wYKHIads29NhuMTBhEVfG6rX36eynk8Mi734lI1mLIPzjjw/jK5z6Lj++9nVu7CBNBGTRBg9IxF0+RDKPqvRD6jjDWuTIo7nlQmp4YxeOinerq6lKvI4GBFyoWmOfi4XEbs7eaZ8z8ft/A7dOOzC0YSdGviRqa03Uc3uw9CQBYwzMDZV3vNsq+AMT+WYpkxz7yOv8QlzUosYuHyQyKxsVTydGgaFPd2wwUdXB0ieTJSrIzGPnuPBdPIpItoEFJ9k1809pU95qwPC3++zfAq/d32zdGck91bU4MFNWlJn5eGGaaAt1KrmFkUDIXkpgHRW9QUpdMyxoUMnHssPlE3PH1A9LPTfhWA6UtAS3ztEZAU3bxVBwMFNtnMuAWq6mSb6DkDn29seBb937GuG/nE7DF5B58zNFACSYTt4upGmfVsmqW31nJvSAsposYvJrnIohkST9ruhoozaGsdkyOi0fOg+LCoDBSgsDIUoIX0qD0k76rMx6SNiaMeeTGihdhEzbVli2xYQLTRwwd4M8DAKFatE4zpYwbRQyU0sUzOpGnENcyKJoonk2nZBNtyhgUYlCiv5muU1tWHC4F+Op0kjAZIjkTYiaSddegBAqDorZ1aJt9lW369hWftLMwY5sGRb6OeI2Lgyzcuqlx8TR4RR8GGQ/ivscy45MaKNKFRQ2K2g4Zv2u+C+c3JdZDNgAIAotiqcmlYnBFwfT9PICPIboKVdrn4OIxUNbfOHzPAu3Ld/GkQnRduw49K9eAH+IV9MTncJqWPn8X0J2FpzPTOOTg4vll8/Do88GnGHfVpS8wn5cBE2PDfKs9AUjGnMBuOIYZ//Yg4ImrxOOtmWSLMShZAr1QKaKXgIEXzIOS9d2rg7fqLhpdMrGHeAgEWS2uTlSAp1jPMzatr/dVyvdM1qAUYUVKBmX0gcGBQdHU4omieEQDZatNshTHyYtazdWgqC4eX/fSWgwUl+qzdZKG30hRt8OgGFw8cpIthUGZug363/EdrOUORe4Mq3QbkmerGzgz1kcWyYqfF/HN07+bGrdCAxV9HyIunlSDI8j9xOsUZVBCMCjiQU0l26ztnrGvB5bvnMAioanuvIO07+VkjQWAWTPlnDL0xmT3/7WvKlITyhTF4+H+bx2Im77yDlQr5NlOnpH9/Y6vAW88JvcKxzRORHfVLHSnGOreHNhyF0l2onfxqLWK6DHR/Tu9+T/YefBCYFvdJJqckgH7nmBtl4CjrwLe8DHgQxcDsBgoxLB1FmFbXNZAwqBk371zlxna/QQkE+xT/wYeMuX6KcqgZPd+PXpx+vSfApuRLMGeuAATwoy9quBidcEDoT254nr0Yp+hs/DOoZ+grgmLb49BKQ2UUYm8gVllUEJUPaa6VogFmrg08qIxKIOy7ebRwHzIbluZdteeayrr0+woQjBQjAxKO2HG+olRNhAUDcpB34fXMwUrdYnOlPbZ2SgddFE3CVINSg6DsjgJIYSePWrA1zMoXpIZOBPJ2hgUYR5myH0eoc6osKyCAkuYMQfLZRKtMDybJnwM0vpFvmTIao6Z0CXnpTGI/ooMvvE5Dh06BXeHr0s3h9zDphO7sMPmE8W2kBIPLn3uF8334s5wN9QqntJkfXvi/cjzMGlgrMkkyTH2cO4Y+30D+MJ9wOvy9EYM2GJn4PCfA1MjN5SY6j57Ds4uHoq0MrQhzFhy8eywpVrfRj1n3B+eusa8C9S8VjZQBmUQNbw4dS/gHSem23jKEBORbKJB8Sr4wv474shZr8Je26rGBADghGeFj5+rH4fHQ7OYeT3vwWK+BZ7lr0r1LxQMkDQoZRTP2AZzcPEoGhSOg3edjok18+pVjA6whRln3/3gyFl46DsH41XTND5nuZIqwRcrV1paH2GIDl5GBiVPJBtBZ9CZUjDLUTy+XDfIq8BnDKuh16EIhRqZD7gOgMr11TanLp6ccyzhmcitO+xXvjcyKDHEVPdhVjtJmvjoqtuVQVF+l8XF04TZjdMRBkXT3pB7YtSEokFxeZ7UcqMGil9gAI7O8Sh/NY6tZ4UQhd8sGChb6bcbkDCIiRsl72clIc0iaaK/jt1AKRjp5XnA5jvl3zetnkgvvqR90J1BydGgsC4pXNZh8nTYp7gGJTNQhngVk7qrwr3h8qKNunj8CiZ0VfCzD+2Jg3Yx5MaZILKAyzENZzePcGqP7tlHrmH6vhToHxZt1WjC2GhlB1GYQWEcXRUPr95Eou+E2hFunYS6ePxKFVN6qvrRLUf1ngeRQTGcI9fFE7WL6wwUo4sn2td4j70KPI9hlYFBEQyfFlw8WTVjFa4MCg2TnRS8rL2GLZGUx7IcEmLtJFmDQv52MFA4mGpwyAwFgU2DEhkoLYQ1J7CJZIUoHmlycOjPzDTgMt/db07OQe+BaKCQ6wgGSn6fS/pSIkTNc/FkDIqwUfs302Qmlc9TGHmTebf6PopjmirujxvkeP08kWxV/M7FENP1hWnbCR8jDUqRVPcigzKxuyK0i6ftogxK5uJJm1Zg3OqD2S3UR13hOgZFrsUzRnQlRTCuDBTmQG3L9D0DjwYgeWVDOu6OW07Cdw7bRdkug0bxZB3aZqC0prqqM5mJ0CBnsGsliieZQI332Kug4jGs4noKV1h9t+DisWlQknMrk4n0mbqJJgVrlPMY86DEoAwKdfHIlL4YZgxHDQr1NxuM26Sd3NMal9G52mVQ9AaVIpKVM3y6PE+6jy8ZrAUZFEDuC4a/qYvHoZJE0v8TBiXfQEkmaLLJsHBgtnIczDMlTY1Pb2iHbeLa+k3A7NO1Z8uO1zMozmU/cxgUjweSlsLBQNEZXXsdgzl7ZXlIGDi4hWWUQYsFDqKGiV2SgSK7eGiYMWlPkWiePm4xUIjxwl3G8TGiKymCcWWgAPkMijwhv8V7EmxonabmQrbfm7adimPetn282dPuA0gaiWTQGAYGZYWX6SiML3vOIJAMuvpMsiYNSsK6GF5Qz4fvMZG6jMG9qphfxCDEtCERHutFsvl5UBJtRpK19K4JBynnqXNDHpQYnieHGacXEvdTRLL23xpCMjhyBl5bLR7F2CkK00oYHoYoe6cUBNT8RsWIsbh4XNNzM3rXs/OL9W8MLp6mPiKEQjZQWtGgmBDu/qHc8xSG7V3/1I1RAUfr8XoGxVnHpBnPnu3JEgU2/F5JS9GigeJXsWrrA7LLguOa/ztA3c8AuvAaQhWTJQYledDCHBHU02snqBQxUGwMCh0nTSxY0fs2xjCuDBTG8g0U3eRWvfc8NaUxHZXoICusAEWmQTRQDFEl9BxFfc5v+hSw07twcc9Hybna06DYJnsZ6gpDvabHWGpICMf6VTXTZ9EoHm7Jg8KzWjnY7u3Rxi13B73/SfmCo+pfx8+2/xXmTlBDovMZlExI6DGeZSBWGBRyjIfcwUWJ4rG4d5J22lw8baXBN4YZe2CeDxx6JvDOk9Xy7w7Ps0KZBWqQMK+AsE9vFoYmA4VqA+pZZVkTEj2T52qgeBoxrZDqnrR3xh74UePD+vMMl4unwPEtMSgaF0/AqnjP0I9wYfMQPLDZYRIT0KoGhaGLZlTmHNttPtEa7UZBGdwNvEtx8YQ6hjbJJEve3yIMii17LWVXuCblAQAz4/gKwfgyUJBv9esGbrZ0nurigcFAkX2CpAMJ/tDkBSsYZmzFrkcAH/kb+jxDWXffQTybHBZfWlfN2KRBsYlUo5NW4HtMG23DvapYfKyF7KqZ4aNz8UQvb3fVAz5wEXDgd4GPXioyKLGBsgHdeLF3Z61xZswkG4O6eIAsLFxePVMXj7MGpRCDYs4k276Lx6RB8aNf+cZPAG//isp4OPTnLad0Y7/Xbo5fHbWXOAkVcfEIDEoWli9MqMxwLxsOBko8kVUKungE+8QwifmMZcXoZLS6Qm6X+hcYlFZEsup4xsHwGN8O32t+DPWKFFVlGJsEEb1uMmYMXZXsPCl7Joe7G0AFtZGLRxy/J3TX0FXxsMMWxEWdMCh5GhRD37fV//nQ20nWcxctYeniGfuwVuCEwUCpdGeFr9KN9IOJQRE7uLuLh5m/syJ2sdCRmL7sdCDOLRaYuHh0DIr+pUozyZoGLubDY2qkVNSeqmgQeL6xSqkJQeriUXHYXttj2017cc6H3xCtmPc5LtIeUJU+ecGZ4Tx1VHIZFGoYpMnqlERt4jG5GhQuGRw5q6U8BiXPQPlp4/3mL01RPPAkkaslhNiAiufjomPejIN3nd66i4f87rXIjPX1IKJD4T2lBkoBF09Rkayp/g6B71l0ciPGoOiTqBUOMxbCmLLzeIyJE7ChvUJEjm6fxgZ0Vfw0v8jz2xwRba9oFlQaBpIaQI+H22KSxKD4no+HvnMwLvnc3tlBCYNC3kdNmSrjs1uHifhH8Hbtd29/7dbp304MyhgJHS6CcWeg5Lt4su8fCl8d/VFfr2pQaMcQXDxSimghhbNO0GSxti21NrTQsjEGt0AOg5KJZNVzmpTxci0eBV4FjBkYFL9qpuAtqFeyCchWzXi3bbbArSfsj11mSAJdgUEhQjfGwDUGUtOUByU5ncSgmDL/thJmLPSfHNraZoSE8LTMWIIzGh/Af8I3mE9u0Ac14Yk2iGKgODxTUx6UFhmUOqp44+B5eOPgeWLiPdN74cSgSC6evAO0iwG9scIYQ2i6TzmGkPHrdrUJ5DnSKsfOBkoqkqXHUqYD0kSr//25Bkq9D11VDx+sn4w3D56LtdNinYvsagS0rMoQqnjb4Nl4z9CP8CI2U0Sy8Hx0V/2smCsQpfSX2uNr22++V19pfB6Le8Uacesn7SC6iqRneEOwV/QHnSOcDfixg3FnoOS5eD719h1S4dJ1wZsAAGyoL8fFQzqJrKqmLyVlb5LOZKMDSaXMPM0BPZcwr3qSwZRut9+HZAJ1HoSg5kFRTxq1RZtQzdNoUBxQ652C6177A5zY+HRa/VN7fWMKcf1Etap/CBzA9xpHCXs3uEselOyeGxkURSSbb6AIIfA5Lh4bgxJyZjWywjyNilGD4otHtWugCC4evyUNCgCsxBSshBRKK7h4ihkoRfOgaMOMLQeNOgZl6zenf9KhpTiDQhYDgosTcGECBNeybp+hPnRVPDRRwXJMy27x/14CfPpmcV/N+zOEKpZgczzGtwOAiEERFk3J31SDkrh4qIGiaXze+y0tGO/b+zzRQCHf/7DxEXy6cXz0gc49pYtnbMNFJPv2nTbHhK8/hd/O+gfm8R2ijUPrVZGsADcNCqOJyzwHFw9lbSoOaZS1DAptj/tAlTRBd79MA1Ouiyd+ibX1MfyqOcrC3lLM32I2Lgn2t7fPNKGT61RrNWw9LbrPO205CZwDFwaz8en68ek+TnlQNBoU+VVTGRT7KpfDE0MSc1w8gaVYYF6l42arBgr3RHeHMonozimzVCYDxWspise8j4GNchHJJnlQPM2CQHutJMtwtolrJz5xf/U8G9dAeevgOfi/iWcA07OIG1o0tZ1EbQKDIvd/kwYFORqUep8gkk37Ys80YAupir1mMh+S0ifIidq04dKBJszYNqYbwMk59xk6C4MTtxFr+5DzR0UE4y8FA6VkUMY8csWBzAPrnoKXu2dmE8LQeg2DQkYlWxQPNVDoMbYJRsuguFjHCetBICe7coQt1b3ZQPHi780uHgDaKJ6IQZEMFBcNCvOE3zt7t+n4y2f+S93PJJSjKzm/hhuOewd+/uFZ+Oy+O6TnXUfKnjcs4btARPvT76ss6jem1OaAowYFTAxJzHHxNGXNinAuuwbFZtwAgEnA3BEXD4UvaVA6uUI0RT+4MCiSBiW3lyZRPMacLCK46T4VjepLr9/axPUSNsVTldcKzGIalYYiDIoqkhWFzNJ3hvbW81w8Q+vT8gMK5PFT4/YaktLiT+jypTZrfkcwpJy/YqtQnxwmaSHpmDnAu8EAY9JC4b4LLp6SQRnTcEnUlnQkDp5NCDoGhXYMk4vHZqDYBtvkGMqguPiRtZZ7a3HyyZl0xoZpQE4ZFJMQOWFQdCJZJczYt1xJ09AY53x4FjadoDFGjAwKHQSq6Kn5OHyPGZjSW001KFQoHEXx2BO1ASwdgLJ6REyzX/y3p5/wKUIwrKcMik74R2DLJJtvoLTGoISQGBQlk6wLs2Fx8bSQSRYANptYw5cO2BF//vRb9PtUuoC3/V/0t6VCcALZxaPTKonNURO1We9FpxmUdrUJZKyiywFdH1kQatK8a6N46Lsufmcap5w0KDSKx5SVWGqL7vy1ihexMcICL/kd5LxhVs04gYuLR37/6NyQVrqnO5jGbtPc8wrBK+8X5cBWiRZAZqBwZBOCTiTLRW9sCsHFUxG0HmKHs61QNQaKy+qJaQZMB3W8/lTFGZR2NCh+tcscBmptqMZ1ojvWGGponlA/s++rAQB7bU8rHOcwKJJrrJKEGVs0KIoPXoPCDIrFjZPv4jEXGoxO0ICOAVAMN4dJwZptVr5JpP8O6YzcbGexGYzh+INfi713IPlO6HX9GnDQ94GTlgCvfoflvPG1JRfP5B63Wjdmm0RaTRsLfNr7iPH0bUfx6FyW6hWPHPoulnBN1Wmdi0dYuDHRiHIxUHTG6s6HCgaK1XDMMVAmJkUsabJBW8r+XBePeIz8/lFmKmGYTe5SI4NSOOpz9GNcGSiMGQRowuSVPeR0QuAh0BwUj+ndNPu7FRePvaXRP9TF48R+5DAoBSji1jQonvEYAMTFow6YzK9JqyrmGGasmfh1L6rRxWOg+gG8/TWb495vvBNfm71ruq3uxKBk98I3iGSLRvGoGhQHBsXAZOUxKFHWWstgN7ReG2EWwBft7pZcPAYdkifS7bZn4DRQU0Y0uZddE/X7SpAzyVZ9D3O/dSDmfuvAdB/BgEoqXTud3ebiGSGRLG0CZVBI/xqqTcMDfCf9+KoVyVKmA8D2xDA06IAazCCS7Z4CfPQyYK+Po6ua9YtG4GagLOab4dlwK8FASQ2dnmnqMbrnIIQZ52tQkvfv7a/ZDBWPYYtJ2W9LxkfBQDEFWxSN9BxjGFcGCqDP66FlUBCldJd9hTjkR8Ce/wvMItEdghVrDjN2NlBSBqWhbnM4zhjFM/NNbtcn0DMohn25qwZF5+KpiOF7rqsB6b6w2MViurZ6vOjikbHF5G54pF1RFI8tzDj6N2NQkonQzKB4DLkGaAiG9ZRBybk/NqYnL9V9rkh2aJ3BQPFEnUUrE6NhUJaTw2n7ULaz8EnbX+m7VaBeC0DCjEl7NpvYhc0mdpF9sjElqVwss2hGjBKRLKC22TdpUGxRf9paPNRAB7Djgdn7t8XrtG3Zc3tawoP8pslbAzu+E/B8gUGpNy2TN3nf9hv6GQ6q/0RoU2agbJIdk4QU5zAoWgMFsoESXf+MD+yBx7//LnRRWQuS/pJtoykQhHczbxG3y3vt349yjCsDhcGwuqera2GSZ+iXayXs/kHgfb+UNAAGBsWrCIONMwGndfG4GCg5DMq07YAv3g+c8GzuqVb3R+FzugFnBZ+qPcbVxaPNo+LX0FOTt7toUPJXK/bjzQxKCqkWSV4mWSAbgExhxmotnnwXj9AXk8FSxt7HYn11M/yqeajVFWdz8QTcrF8BYGFQZJFs8WrGRgaF+cJ3VgNFutfaMVzQd7mLC/8PJ2bPVjMRBQedgnW8Byc0PkPOn8OgyO01lqfwrG4LowHUQQbFrEFJ+r2FQSH0muLiYQz46nzgY/8Etn6j9tqTeml1X5r0MvubPpNGYDFQXh/VPHos3BZNVJT3IY0Goi6eoXVxg+0LID2DIp4/GUMYIr2L+D5FS1lqADMXkWx6RoLd3g98/QW1PWME48pAAUwuHh2DEr2I62UDRbfSFUK9OsigBEVFspbBAYheos12FGuP5EA34Nwc7onb+B7K9g+8aRsA+WHGDUMm2a2mTRC3OUbxqNuK+GLNGpQU5B7mZ5IVB+psxSm3iQw+TgaKJ15XdjkmOPgUnDvrn1iJKdZEbTYjK4C5EjKAuL/rk9gFoUGPBRQ3snURFDFMyQLjnfOvI7xbjsNgdQLmeBkLqZ2I3vpF7Dn0a8yLs5kCSEWyzt2yRReP0XjpqIGiZ1CSv90ZFMnFAwC9mwDb67OqRocYNCjk91EjzcqgvO3LOKZ+Aj5c/6b2666qRhA7uJbsIf1O6uJx0KCk72ayqxIlKvUXQYNC4OLi6ZoMbPPW/P1GIcadgRLoMmhqGJSkFyjlsLUGCmVQpAmPdMzlBuZBgdbF465B4QKjIxkojjholy2x/2s3N6y0GX6Go5St2202CaceuXuLidp8VLXyd4KZ/wV8/Jq4yF/WFvVq8uBRU/MgpLtKmiHtPsTFgwqaliysyU9QXDzWRG3In3zk35QkiNI11xN1MDJCMKsBEsDLLQmhGxhDeBhsWPIyOM3QNg0KWR3bRLLKdTQTN323XME8wSjRFYVLSh00NFlrXaoZRzt22MUzeUZrx2lgDjOO/u6Cpl9qwoyFRG2uF/cNGhRTWLKNQfEruDmchXXQ6466dOHK1ECRnwUVyZJ+sXiXmEl712nC7oEshNW8T6JI1pVBkZCkBDjm30DXFPu+oxDjz0DRMii0iF70TzKkKeWw8wwFQYMiGig3hHvh+k0+AnzwjznniBvRYpixqEGRXE6OqPoezvvoXkZjQyvk86JMorZU94DBQOmZqhmAubrPdvsANcK0SHlQom1Smz9zqznU0ppYLNme3fu8asZMYlAqTK9BaSXVvQCTi8d2TIy8XEC2LLQpNANjk3sYalLxaQsuHiODIrp4rCJZWYOiIxaCFgwUT6w1pHPxJN9ThofFRuqwR/GYLrDjgcA+x1uPdYVZgxL9M5lpBK45idqcqSUDa2Jy0VkZlBwIVZETCAaK1GbSBtovXph1InDCc8DrPyDsHhAXDwClk3IuuoGZ0CfIF9YEomRfQ+6i0Y7xZaAwZshiSg0U8ZYoeosiLh5PykQIhqs3/wywy+G57QQg0tBOYcZR249+67YAgLftuClazYMCRKsIU80WUyidMVIKSAcVgZ7f90Tgnd8B9j0hfwJLDBNPXZ1KDZGua4v4cGBQPIlBoZNj76bAMddmu8oGimuxQM8HPvJ34AO/1zZBuacWBsV4TM52+n1uEi5DFM9Q08agFNSgeNIkRo63GllOUTytMCi+QN/bigRSI5zlTSLKZNdhBoUx4MDvtHao9JkyKDoNymToDBRN9Ivg+naEkUHR3y8rg5IDbcI36lZVGBSSwVYUmAETNoWMZFxN+5CmjwgGJ2vRxUPPsdXr7fuOQhTu8XPmzMFhhx2GGTNmgDGGK664Qviec46TTz4ZW221FXp6enDggQfi6aef7lR728Zivrm6saIaKIk/9yk+U9xXZyiYwox7N1FenkI2LB1Enfzk0dk/+l/b4uov7oPffuxNqgalABhjxpU002ZL9BElw8vRoNAJfupM4O3HRwJe+aWXl761mI6VkicpV1MGcstddxHJUhcPl7KsfuFeYNvMv5uMTWGOgSII4JK/dzoY2PV92iaoDIpBg2I7JobWzUlPnRfFA2hpiQCeuGptJdW9kUERV4D29kmMhG6X3JWn7rSiCFgfrRFBYFBiJrR9DUqLmWQ7CA88ZQh0GpTJrF9zkC7MmPZ/x4vTcdrEphA02mJQcsZbmd0jP8LFiFUidSRDg4OL98WnBorFxfMGyfVOXdtH/Ap4w9HAZ2/Ttmk0orCB0t/fjz322APnnnuu9vvTTz8dP//5z3H++efjnnvuwYQJE3DIIYdgcDB/QB1uMAAL+XT1C2MUD/BkKBko2pfBoPmYNF0ZbAqxbHSVXIBBYYxh962noLvqSwxK8VTIhQqXpQJjw4+Mvxf0AxYhpPLyJYp64RlopMfyTbauPOmMkx/FE62MufY7gDAoPDFQQm0bRA1KfqdQ7mnTokGJ/7WFGdsQwLeLZAHtBK8Ib1sRycoVjI2wGZ2yi0djorTi4qn2ivndLM9NqDUTCyBdNShGA3IEM4Wu2uv/sIpPwjnNI1KtmFiawsag2F08ztock+7EYKBMm+BQYNWAXAOF9n9J4CrolPIMlFRTYNegOEfxzD49YmE/exvwqZuATbbPvpu8FXD4OWOKSSnc42fPno1TTjkFRxxxhPId5xxnnXUWvvWtb+G9730vXv/61+MPf/gDXnzxRYVpGSks5JpUzDoGJf74JN9G3FfHHJjSDU/aqr1VTyfCjNtgUACzgeLp7oPnATYXj8Y/L040OQPVtO3i61ADR3sh7XVtbYrOmx/F00QFR+xJRIeSWyg5XTMNM9anuldEsjlIRKvrN5sVbXj9B3OPyUuoZ4I21f0mr44SYqUn14tkBRQNM56yDfDun1r2b41B0aKIi+fI3wCTXwV88PcIiYXi+44Tq5yFWoF4HmOE1QgaKC+/5QS8ceg8LMHmqftDJ5KtMA1roWFQmMAyODbCUSR7/kf3wpGzXoVPvG17tApBg7LDO6N/p5K5wNJ/RANFv08yPqS3RGug0A8mF49kfFd7IhZ2q9cbw7XHEjpa/nDBggVYunQpDjwwy6g4ZcoUvOUtb8Fdd92F//mf/+nk5QqDMWAQmqRMQqKmmL6Mn/vzOoNGhim1vI5BcWwrgM6EGcuREAVhdPFor+Vbj0kgiGStqZrJfd3r49F/gGSg5PzmPAicfX4Uz8Wf2RtTqyHwRHKMOAmrmWRNqe4JJewwQifne+KA3+HNeBTY6ZDcY0wMSmGR7Pb7Ah+7GrjjbOCGk6PJWieSVVLdO0Tx0HfnuEek/WUGxtFAkRkU3T5BntFA8PoPEJHjjelmG4MiNCfUiGQtx5oZlEKjR4eRRX4lDIro4rEdmhPF04qBIheSJHjXbtPxrt00THkBpGHGAHDkr4F7zgf2/IjTsfR9NgmXw5RBiTFcUTxjHB01UJYuXQoA2HJLcVLfcsst0+9kDA0NYWgoi0hYt25dJ5vkBo1INgnVDeFF2od6n/l4K4MiU/sFBpm9vwjc+mNgl/cBfcvdj6Nom0EpokHxAJ4/AQoGiitLdNjZ2d8mRXu6qYCLR9Cg5EfxTJvQLabilu5pMjjlZZIVFPoOfSItxNg9BXh1jsg6PaY1F0/IJQZl50Ojf//rC8CUrYFt3wY8fIlynBLd1G41YyuD0qL7Jz1BCy4eiBOxa/qUpI+7vvnabNfAiBgoySXppWu+qkGxtk1Xw8bAplhhjOJpbxqb1lvFrjOmwPMY5sxfAUBy8UzYFDhAny9FB8+BHUoTtaVhxqKbiHPxljKXWjyvQIx4FM+pp56KKVOmpP/NnDkz/6AWkfj7Pln/iviFViRLvp/8qpwzk52pb1vDoBTCO74GfOJ64MhfFQozFrcNk4vHEmacFwEiRFLZQqldEk9p728BF4+gQcmP4gHzgN5pxnOnonw5zFiJ4ilGcSf31GUol9sgI8/FwyGmascu74v+9SvAbv8d9WvNmlkxTGWDr+gEa3l3rH3M5Z3LdbsYrkt+dsXVQklFso4alJEflhXQSbeaungyJM/jQZKgLkVemLErhJIk7Y1rFBO7K7j4U2/BUf+1bbpNG8XjiEoBDUq6qxxmDLG/MKOLpzRQnDF9ekSrLVu2TNi+bNmy9DsZJ510EtauXZv+t+j/t3fu4VGV59q/Z5LMJCFnEnIwJIQzcjISCQEsIqmAbKtWqQesVLq1IG60urWoW2m1iu66vWzdvWi1rfC1Kp+6i8VWoH6gtCqCIFFQN4dChaqIVSHBQ4Dk/f6YzMw6z1pr1pq1JnP/ritXklmnZ951eO/1PM/7vAcPOmmSJuu7x8lrkWgVapNSnECgSC8uqacjXKTRMVkgmAXUNUcElIW5eFT7iP1t/UbOz9XLy9D2oAQCgYRFvmSjeLqM5hsyI1Ac9KDo5aAoJ1wsGwjM+i/NIcHRB9JJCx4UM0my3co3LhPonQczHWAnQpGiePPWAYUaYU6dUvcyTI3iMUB53uyGeBKVurdEfGemcycSeVAU9iYaZaXHv08fCgC49AwTL3nFdZEh/iaRWhhPkg2q1vjX4zcB3/jvuNcN0AzxyD0oJo2QJVBLbyBnAgFSr4lmHRSTmEmSjYd4om8T6qRz2fUlE/tSD4qN0WhphKMhnoaGBlRVVWH9+vU47bTTAERCNps3b8aCBQs0twmHwwiHrU3W5QjSm0XmQdG4oIprjfclfVgXSCa0MlGAyzQK78LTJ7+Gt8UALB55BLm7V0cPqN4uiTooAPDM/MnALzTM0clBCcBMByixU9ZRmHxSWc5BMdmZ6RZzk4qYnr/P+Fdt03RyUNSiSbqNvnlREg77le06akMCgVIxAvj4Xc11AESK4umhWajN6RCP0n6zIZ7UYFosauWgyPck++9koiq+OlzYWIsJA/uiqkhn5u4oeWXADW9Z8mhJV43noMjWAAB8gmLg9FnAe6/EFyUaZmz6vtd5ltl4rkmJCtiQTKBYuL5OmyP7NyjLQdHeJNEwY0CZgxK3Rz5ZID0oMo4dO4a2tja0tbUBiCTGtrW14cCBAwgEArjhhhvw4x//GKtXr8aOHTtw5ZVXoqamBhdccIHDplvn0vH9kRUMYNaYan2B0oNsaGJRAoEivVWHnAOcc0+8eJfi5rHtOlQkDB5DHpZ3zYAolmSWJ/Kg6A2jNaC2rI/m50LrzgtGk2QtfEejGZt1QzwJclAsjeKR5qDoCOWc3MisoINbgdIG/X0hLjYSFWrTrINiQCzEY6Hv0hOKsfDI/L8Ct+zXX25Et5lRPEmGeFTDlOPbGydlKj0oJufAMoGtXVkM8RhNpZDo8NXFeYmPo6gpYwapiIjnoEgFh3IDqbckUQ6KWSMUodYoDnlQbAuU8+UlN7JNCRTF/EwaQkOegxJ/dsvuz7KB5u1MQyyf2a1bt2Lq1Kmx/2+88UYAwNy5c7F8+XLccsst+Pzzz3HNNdfgyJEjmDx5MtauXYvc3ASqPgVUFuXinbumI5QVBHbHq3/KYps9F4rsQVBzmvGOlXPxTLxO8n/8phpY0Qc3fn2oZbsj+9HJBcnWcXtqbWfnRlZ0Ei92RSYJ1BxmHK0BYkWgdFkcSg2Y8KBYCPGYyUEBgG/9H1OmRTuHk4rZjJVviQHZNon3ayUHJb5NAoGSlRMpJmgHM29upjwoRl2u/re1kiTrnDwxt697LxyN21ZJRiRZDCfpJskmy6kXAO88C0z8N9Ob5IfUEx2GNHJQ1OdK4+1fdv6t5WCptncwByWKLMSTY8ErY/DyoZuDIhQhHmWhNiEM6qBImHF/JDQ9bq55e9MIy2f2rLPOSjjl91133YW77rorKcPcIhZblHlQJOKp57vJvuKQc4CptwMVw7V3avRaJTnOhpvOsmasFIVQiHYyWVkJOuskc1Bk+zz7PzDv+UgbaAuULONS91oYjuKxmYOiNsxgkdSDYt3DpCRWSTZWqM2EB8VEh9RtwYNyWv8SAPodnSkPSSJqxyVex+lRPLIkS/M5KE5ixhtzeXMdNu37BNgV3chaqXu7OSgJuehXwOTvA1WJC3U9dMlp+PmLe3H/RZF1tUI8WqXuNf/VnM3YRohHr6ij2efakOnAnnWR57kGYTseFI28NcOyAdl5wMkv8ZfuSLvGk2Q1PCiy4+iM4imoAL75S3O2piGO5qCkFXohnpgHReEVmaKRUBYuAjrbgcHTzB3HDIpZL/X2E3ujzpa+9TufgyIv3d83/lauVYAuNhePhQ5CFuJRbGd3FI9Bx6ZeV3JMjVCfVeLDjCO/4wJFboPVPjTepok3nDaiH/778kaMLO0Cfm3tOKYZNC2SaF46APjlmT0fKs5XskmyBtercSK28jqydlgjzO5KJmQselB0C7UlS1ZOYm9wDxc0noILGuODA6RhI+06KEYelJ7zKJtbSfKnaQ+Kxj6VfxvxzUeA//2jPIEX8ceMNDHWdChe46VGWh9H9Qi77nVs27gav94USRuItWtBJfDlp7JVTdVB6eV4n2nmGdKOSepBsZB0dO1rkfkNjFymVgRK9WnABO1kYrUHJfpxAm+Ckx4U6W613hJ6jqUZ4pFWYZQi86DYSJYzVQfFrAfFfmnsKMok2VhlTdULZuI4tZRuZVKdAYFAAP8ypgYNFUWJV9bAVCccCEQmvdTzKgLmZjOum2hwDIdG8eivaRmzOSiy1SzO+9NlM0nWTaQWaXlQ8sPZCGUHMWGgRshQw4Ni6xsm60HJKwEar4j81iBkZxSPlkDJkgo3xQVT0h//qL8AJ3t8A7E1v7UCqJ+Ey47H661IBYoI6IR4ejkZ7EHReXOOelDMXAXFpwBjLzF/HCs2qZbpeFASzV2SbKxWx6aApgclMlmgSqDMXg4MnaG9/6RzULTsM3ibM8KBEE/UHGVV1YCiTQLaL5O6RM93fVm+BWP0clCMOQQLeSmSc6GaFcnMXDzDZgKXPgFUjlQvM7geki7UZhPTCbfS1ayWuncrxJME8hyUaJJs/MOsYBA7fnhOJL9PuYFWoTbZvpMM8Thw3wLysE622cQYjZcaQw+KgtiqFcOAq57HpsV/ii+TNlfCgQG9kwwWKDoXeE4eAAdVqqUQj8GFpyrk07OuYuI8FTIPijM3MqBTRbMnxKNKziwdEGtXFUajeHQP7lIdFL1RPBaITRaoaAPlqCerj5iffOs0fFb9NfQtsGCjjSHuS/JuxT++6pd4xShGxcrMjOIJBIDhs7S3V9ofjs8FZCUHRVNURKtDlw3S348GpkM8sB/i8eMbstTjpxXiAQIKr4M0hqNOkpUVITNthNRr4nySrCysY9YoDYEivSUSCxSdPDGh8KDo5aD0cvwn1VOFskDX9HuBM/8d6Bt5YDk2MtFK3ofhm4S60mBk/xbyMZKsFyDfrca+eu5MlQfFaMJEoyJ5ZnJQNEM8+qEB9bqSZS6EeGKH0VlPaYIeFYV5GFpZaM0YGxNVvpLTYnkbXZJNkj19biSpcHTPxIjT7gRqGiHO+5mpyQJHnRIJcf3LmBr1KvPWAaMuBuY8bc0msw4UKx4UF0NSTiF1KMQEijQUZRRW1RIokm9p2smc31e9T8Cx51rM+2OFBDko3RrPMLMeI9layUw6m8ZksAdF2jHlAC0LFSs49JiwdGGZV8YxFR0weEgArrxpRA6lL4bUFUXVbXD7iXm4KOsvOH3yjart45iog5JsqXtZsrQTAiXyW5XomGSSrK2Cf7ohHv2DJ/NuNmVoOeZMkQgc1WzGFvdeWAncejB+3RZWAte8hAAA8exv9LfrOc5v5zXjpd2HMWNktXqdqlHAxW5lECf3guNg2RbnkIV4TIzi0cqC1clBMX1VDDwLmLgIqByVfOhag+wsbfsM0QrxBBMIFBO7HVjRR+FBiX/fIHp3cTYpGSxQjBW4Yw8JpyrJqgyK3vTSzlrLm+DgjSyxQW+YMRAfYhv/XL3u412teLyrFX/vo/NWZEQw0Xe2koPirAcloOdBSXKYsa3rSOfNckxtCZ6Zru0pSWaE7jcba4EGSf6KE+FFnfwCYzd3ZFlpnxAubExUZNEaVkI8n4hC9A10RDpUK8fwoUKRF2rTCPGYSUzXq4NiNt8jEADOuTvy9/8+H//cwRevKOZH8ahDrtJ73eqZfO66yfjHZ19gTG0JvjohSa4OyAVKU32pxT2nJwzxAJoX+OlOXQBWOhYLvUM8xJMgecolD4ruZIGBgNr9btqLpNjOTIhHs+Oz6UFxINlOOZuxORtM7NhBD8qgigI0DbCQCGsX6XkKaVcktoswO3TcYbTeiLUQAph9fAmeODkVuPRx1XLzwVx/IBtTEIyKcIt+EJ3McFtny6Xn2vwpg9A6ohITGvomXhnQnx6jhzyNgm9Gl+fo2mLMHB3x+MlH8cSP818Xj8LKayaYsy/NoQcF0LzALz69FgEA45IVKk4lyWowrr4UCB6VbJ5geyffNLTezi2EeDRRDf8zIVBCGqNa7NZBcSRJNvI7kUCRe1BMYEugWH/0my6apYnifEkFX6ggif1qHMlsdWCPEAD2iRrcdvJqXF46wPrG3n8FGVJz4qEQo/CysQdFutS0B0VnX04+1xbPNBg2r4WO1/XWmcPx4dGvMLxKnTdm9h6TNos0xFOSmw3YyZdJQzJXoMgKCambIRgMYHaTiVlBEx7Gws1nIUl23uSBuOacFmCHZPZnrYe29I0vgdpPTHxfmtUSeyYLVA0BVdg1dVgFXtz1Mc4bq0henPID4MO3gNMu6zmcCYGSoyVQLIR4XKqD0qWYOE9V6j4VOSj6O3NwXwCGzQIOvgYMO1f+uYseFONz6l7vbnqUcRJukG4hfCdQpII6J8uEByVB6LXzZDx8cebgCusGuZT8bxmdZ8b3plgbHaaFLCws9UL38gkCpWSuQHFJgRseJxkUT7xwdlZEYiccHy/ZzskkWR0PSiCQ2IPys8sa8dKuj3H2cMVw1vwyYN4ayQcmkmQ1hy9bCPHIclCcq4OiHmYs/9/qZIHOChSDw9jpGC99PFKMTCmApTY7LVA88qCoCm8ZrGkaRaN3+zDGI3M09ryciCTiNAPLC1D9WS4WTRuCur4GtX3yyiLl+RvOlH/u4PM7qZwfB15q9JC9A0q/b6KpE3oRFCiAuwKl9gzg3dUmV7bhbdErXhRFOClQEnSqQa3sfqhyUApzc9TeEyvIPCgaAsVuHRQHSt3rDjNOsg5KqgSKLQIBbe+crLqXCzkoev1KmntQzIug1KFVB8XYg2J8vZYXhLHpVoMpQqIEs4FJizQ+dycHxTIOFYnTQvrMOKVUIuJ8mETtFhksUIxDPI4xYUHkIh54VuJ1LT1Ye9ZNNKJF6g508Htq1qGIjuJJEOIxjckQT6WyeJnqeCbb1ZFRPJHf6mHG+iEeczkoDna6LnbguoQt1nBJRKQioN5CZ49lg2S6EF/2P5ImjYZ4DEfxuH0OUvWCmQgbAsXK7dd259dxokugT1jyHS1OnZDOUKAA7l7gWTn68+uosONBSVQTRCRYbgUh+Us7CU6z1L3TMWKFB+Wi02vx9gftmDioJ/PeigdFWkTLgbehqHteXYpdKVAsPsCTPXcjLwTeXqVpS0pwPAcl3h5dlz+DrCcuji9y04Nicr2CsJVnitxeX+oTmUDRriSru4EmJr+l3n6SnQTVKWwk1lu5OkvyNV6aMijE42O/scvIkiN9otOMbmrdOijatQXi20k8KG6/hQeztHNQbFdBNOdByc4K4q7zR2HGKI2CXIDx95aW2ndgFE9XV8RmZRsYCRJTpyVZgTJMp5y8guaeOiZ2BlYY4mIOSqC0AejfLFnmogAz2a/edu4IjO1fggdmj028stJeHyoUac5Utpk6KK4b5FyIJ6nmdjEHRRcmyWYAfnER2iX6QEg0L40T/uLCGqDjA2BwK4C3DWwKRqp8KoWS0XwtdkiYJKvE4OHZJRUoyXtQol/VUh0UM6QoB+WWGcNRXZKH6SOrnN2xw8OMpe0ZCAaQKq+Q2fyQquJc/GHhJFvHMFtrJZXIhhmbqoPCEI8eSWu5DArxZK4HJcEwY2+wk4OSIEnWidexRduBm3YDpQNQ35Nxf94YDW9Fj6fEMQ+K3WHGKrtMhngccBXXlubj2xPqMbZOXujJqPZBSjwoiaZE6KFPOBvzpwxCQ7nDHg/HBYrEg5LCt/dUaAf/yRP5JZOtOYrHaojH9JF1PvZYoHztFqBPv0hpBItMGlyOcHYQp9eV2Dt2BoV4/NIzp55U5aBYwUIdFM0cFM0QjwOPu5zcyA+AP/7bZOz7+HOMqS0GnlGsF9QRKLY7fjMCxYQHxTDEY22mWTPcfcEoYH0/4ANzNrhW6l5K1ejktk+WsHsCBYFgykIMqRAP/vSgqEfxCMUaKcVrgXL27cDU22xdd4W5OXjrh+cgx65nmSGeDMMvAsUIvRyURKN4HKYwNwdj+5doLwwEEAiYm4snKZwUKNIQj5MoRZlXIZ5FbcCxj4CKYckd3y7jrgL2/j+g8dvO7leVe5UigeKKeFAkyRodwiPtIvOgxAq1BbVXANwPSTqZg2K3TZO4p8PZSXhruylQej8uDb9NGZqjeFzyoJglkIXKotwk5uJRoBvikeagmAjxGOGCBwWA+gHtVZJsWUPkR74ze/uyw3kPRc6j0+I5oOgce5EHxY/IQzwmZhB348Cyz32Sg5JKKkYAH78LDJvptSUpI3NzUKSJRn65wK2EeLQ8KKa2c5FAEI11pVj0dcV8Fi4PM04KtzwoClFmaY6by1YCdS3AwKmSHTh4qypN+c6fgL6DgSv/4NwxZMdzvvOS552k0oPi/jHG1ha7fxCLyEM8Jjworhvkk0JtqWT+X4Fb9gMlDkzBkiZkrkDxpQfFSh2U6O8EnX8q45U9QuTyZsUbu+3O1aEkWSO63RIo5r1IqiTPYTOBeWuBvoOkKzlonIIBk4F/22aumKBfUHpQ0hmF/cuuGOeRIfrIQzwmclDGXRX5Pfjr2jtMVuk5Weo+XfxiWTmR6UAyCL/0zKnHjwLFTh2URGo6xSGeyG+HhtiaGcWTnWtv31HcCvGoclDs7EQ6SiJz3yW0CAQVOSjpLlIk1JQk6RV0AWnr5gRNeFDKBwOLDzowekvnvMpyUDws1EZcxSc9swfIBEoaP/wLq4Cr1hg8CFIb4gGQgvaUlrVM0oPSlZocFMNCbWb24efZjL0gzT0o6Way9Po15UEBgNwiNw2K/53kC6al8CtJKWncMydJ2hW70RlmDAD1E4HqMTqbpVCgRN9kbFeOVVA3QftzaVgm2RwU10I8yjawcasF6EHRxaNhxu7gf9ullYW1ZzNOdZJsBuagZCCZe2arxwAI+CzhyEaIJxF5pbatsUysuq1DAuXsO4CCSmDEN+Sfdx2P/51siMe1JFknSt1ToOgR8GiYsSskK7JTgPT61Zws0On2b5oHbP0NMO1OHYOcy0HpW+BBuXpiiswVKKE+wG0fuDpdtmWsvIWYXXfSIuDDNyOTxbmNXg6KXcIFwJk3qj+Xiopkw0kpy0Gx8QB3K8ST1t6GHoLpHeIBAJz7APD6ryNCXEmfCuDzj1Nvkwn6FUZeCrqFix6UWQ9GqrUW6cyv5UAOym+/Ox4Pb9iL+77pcRFDokvmChQACCWZv+A4NkrdJyJcCMx5ypY1lol2ok6FePQ4pWeUQ35f4/XMkCIPitHpGltborMPelD0UHlQ0lGkjL868qPF/FeAf2yJjLDa+BNg9EWptU2D3323Gcc6T6KqOCJQNGc0d4pAQF+cAI6EeM4cUoEzh1TY2pakhswWKGmFQQ6KX3A6xKNHflmkHoATrvFxcyMdQV1L8vuSogzxaOSgbP2PVhz54jj6lyU5n5BlfHjtWCSgSpJNzXeaOaoKa3YeQlO9y6HTwkpgxHmRv2fcG/u4rCCEjk6XvH4JmDykXPZ/dypyUPSQhXg4iqe3QoHiJ4xu8jOujpQMj6/sujnWiVa3TcHbvlP1AE6bA1SOBModLgVvYqh1eUEY5QVhe/vLcIKy5kydB+U/Lx6DKUMrkp7teVhloa3tHr2yCYv/5y3c+HWPpi6Q4GoOSiJkApUCpbdCgeIrDG7yYTOAuc8BK3reqvzmQambGPdo+M02IwIBoKbR+f0q3upszbgrTYx2sk3TICkzEbL2TKEHpTA3B5eOr7O9/fOLzsT+f36OpgH2BPbQykL8/tpJto/vJMmN4kl2dKH03qB4763wzPqJRDd5maSyqI88KAcDNcBVz6eXMHEblQclyVvNiYfwjPuAytHA125Ofl8eow7xpAen1hRh1hiD3Io0wlMPiqBAyQToQfEVCW5ynz6UBaBrT7fQyr7IAJRz8dg6Xw4/hCcsiPz0AoJBRefoo/shU0gqByXUJ7mDSwc49AKPINGGAsVPlA4wXq6aIM0f+McSH+FUuX+9/WU4XoV4SBxbHpRzHwB2/g8wcVFyBw/1Ab79bOTc+240JnEKChQ/MPc5YMczwNm3G6/nUw+KEcFAmkzE5TSO56BQoEhRzWacJvdDb8KWB8VoaLVVBk11Zj/Et1Cg+IGGr0V+EuHbTipDRYgRige2sBXookDRI6gq1EaBknr86dElvQc+9dIJaSeVyjl2kkBWbTKTUOWgJLs/3qpSVB4UknI8rYNCMgI+9dIJ2UMgPQRKxqIQFLaEGkM8ugSVOSjsIFOOp6N4SEbAp146IfOgdHtnhxIDb07G9huKHJQTXUkKSgoUGfIk2SDYQaaek5Bc4xl7oxM34VMvnUjDEE/GPrYUguJEt53z5VKhtl4Ahxl7z3FZCiPbnzgPBUo6Iev00kOgZCyKHJTckI189DQRoV6gCvGwg0w5JwU9KMRdKFDSCZ96UPJyeBmpUHhQ+pclWZiKyBjcTzqXDTtHLzhBDwpxGfYs6YRPPShlfUJem+A/gspbK8lKskRGn3BO/B8myXrCCeagEJdhHZR0wqcelCCfTWqcqCTro3PsOzjM2FNe/sFUfLKvBHjOa0tIb4YCJZ3wqQfFsCPN1Dcr1RTwGdoOrsFhxl5SW5qP2rqK+Adsf+ICDPGkEz71oBANHJmLh+fYFBxm7A1ZkjAb25+4gOMCpaurC3fccQcaGhqQl5eHQYMG4e6774Zgh5o8vi3U5idbfEKQHpSUwbd3b8hS5AER4jCOh3juv/9+LFu2DCtWrMDIkSOxdetWXHXVVSguLsaiRUnOYEniUBP4G+aguIuyPdlBpp4saXI82584j+MC5dVXX8X555+PWbNmAQAGDBiAJ598Elu2bHH6UBkOOy9f40gOCs+xPsr2ZAeZcqQeFNHlnR2k1+J4iGfixIlYv349du/eDQB488038fLLL2PmzJma63d2dqK9vV32Q9IM9qNq+IbvLip9wvZNOUGJQOmmQCHO47gHZfHixWhvb8fw4cORlZWFrq4u3HPPPZgzZ47m+kuXLsWPfvQjp83o/dD972+cyEHhOTaAHhTPkYZ4uk54ZwfptTjuQXnqqafw+OOP44knnsAbb7yBFStW4IEHHsCKFSs017/11ltx9OjR2M/BgwedNqmX4qfOy8iWDO04HBnFQ3Rhe3qPNMTTfdI7O0ivxXEPys0334zFixfj0ksvBQCMHj0a7733HpYuXYq5c+eq1g+HwwiHw06b0ftJm7frdLHTYZQ5KLZmI87QtrMDBUvqkbY5BQpxAcc9KF988QWCijLfWVlZ6O7udvpQGQ47L1+jEiQM8bgLBYqnMMRDXMBxD8p5552He+65B3V1dRg5ciS2b9+OBx98EPPmzXP6UJmN8JHgY0eqRpmDwjd8h2ESsq+gB4W4gOMC5eGHH8Ydd9yBa6+9FocPH0ZNTQ2+973v4c4773T6UJlN2oiCDO04nPCg0Eumj0qQZOh15he66UEhzuO4QCksLMRDDz2Ehx56yOldExl+6rz8ZItPYJKsy7A9fQWHGRMX4Fw86UraeFAyFEdyUByxpHfCOjP+gjkoxAUoUNIW9l6+RpWDYmcnPMf6MMTjK5iDQlyAAiVd8ZMHxU+2+AVHclCIaehB8RbmoBAXoEBJWygKfI2qDgqHGbsLBYqnMAeFuAAFSrriq87LT7b4BHpQ3IUeE3/BHBTiAhQoaYuPRIGRWMrUjkSVg8JKss7CJFlfwRAPcQEKlHTFVx4UosKJUSY8x/qwDoq/YIiHuAAFCnGXTO1klTko7EAdRikAvbGC9MAQD3EBChRC3MCRQm0ZKu7MQA+Kv+AwY+ICFCjpiq88E8xBUaHMQeFkgQ7DHBRfwRwU4gIUKGmLzzuv8qGR30PO8dYOr3BimDEhhGQwjs/FQ1KE39+ur1wN7HgaaLzCa0u8gZMFphgKQEJ6G/SgpCui22sL4miJpaJqYNIiIL8s9fb4AdUwYxsd6PjvRX4Pbk3ent6Gsj2HnRv5nVucelsIIa5AD0rawrdrX+NEEmf/M4Cb/wbkZajIM0TRnkOnA/PWxUOLhJC0hwIlXfFViMdPtviIQBYgeupD2M1B6VPunD29Ca06M3UTvLGFEOIKDPGkLT4SBdm5XlvgT2R5KMyRIIQQK1CgpBvhnhj70Jne2gEAs5cDJfXAJb/12hJ/Is1D4SgeZ8nK8doCAgD9RkZ+l9R5awfplTDEk25c3wZ88rdIfoLXjLww8kO0kXpQKFCcZfRsYPMvgUFne21JZnP5/wU2/RxovsZrS0gvhAIl3cgvy9yRMemGtBZKVsg7O3ojoT7AtZu8toKU9Adm3ue1FaSXwhAPIa4hyRPKzvPODEIISUMoUAhxi67j8b9zmEhMCCFWoEAhxC2kAoUeFEIIsQQFCiGpIMhbjRBCrMCnJiGEEEJ8BwUKIYQQQnwHBQohhBBCfAcFCiGEEEJ8BwUKIYQQQnwHBQohhBBCfAcFCiFuE+TEdoQQYhUKFELchvPwEEKIZShQCHGbbAoUQgixCgUKIW5DDwohhFiGAoUQt8kKe20BIYSkHRQohLhNFpNkCSHEKhQohLhNNj0ohBBiFQoUQtyGHhRCCLEMBQohbsMcFEIIsQwFCiFuw1E8hBBiGQoUQtyGdVAIIcQyFCiEuEXVmMjvxiu8tYMQQtKQbK8NIKTXMm8t8PEuoKbRa0sIISTtoEAhxC1CfYBTTvfaCkIISUsY4iGEEEKI76BAIYQQQojvoEAhhBBCiO9wRaC8//77uOKKK9C3b1/k5eVh9OjR2Lp1qxuHIoQQQkgvxPEk2c8++wyTJk3C1KlTsWbNGlRUVGDPnj0oLS11+lCE6FM3ETjwKjBwqteWEEIIsYHjAuX+++9H//798dhjj8U+a2hocPowhBhzye+At38PjLrIa0sIIYTYwPEQz+rVq9HU1ITZs2ejX79+aGxsxKOPPqq7fmdnJ9rb22U/hCRNn77A+KuB/DKvLSGEEGIDxwXKvn37sGzZMgwZMgTr1q3DggULsGjRIqxYsUJz/aVLl6K4uDj2079/f6dNIoQQQkiaERBCCCd3GAqF0NTUhFdffTX22aJFi/D6669j06ZNqvU7OzvR2dkZ+7+9vR39+/fH0aNHUVRU5KRphBBCCHGJ9vZ2FBcXO9Z/O+5Bqa6uxqmnnir7bMSIEThw4IDm+uFwGEVFRbIfQgghhGQ2jguUSZMmYdeuXbLPdu/ejfr6eqcPRQghhJBeiuMC5fvf/z5ee+013Hvvvdi7dy+eeOIJPPLII1i4cKHThyKEEEJIL8VxgXLGGWdg1apVePLJJzFq1CjcfffdeOihhzBnzhynD0UIIYSQXorjSbLJ4nSSDSGEEELcx/dJsoQQQgghyUKBQgghhBDfQYFCCCGEEN9BgUIIIYQQ30GBQgghhBDfQYFCCCGEEN+R7bUBSqKjnjmrMSGEEJI+RPttp6qX+E6gdHR0AABnNSaEEELSkI6ODhQXFye9H98Vauvu7sYHH3yAwsJCBAIBR/cdnSn54MGDLAJnAbabPdhu9mC72YdtZw+2mz2U7SaEQEdHB2pqahAMJp9B4jsPSjAYRG1travH4KzJ9mC72YPtZg+2m33YdvZgu9lD2m5OeE6iMEmWEEIIIb6DAoUQQgghviOjBEo4HMaSJUsQDoe9NiWtYLvZg+1mD7abfdh29mC72cPtdvNdkiwhhBBCSEZ5UAghhBCSHlCgEEIIIcR3UKAQQgghxHdQoBBCCCHEd2SUQPn5z3+OAQMGIDc3F83NzdiyZYvXJnnKX/7yF5x33nmoqalBIBDAs88+K1suhMCdd96J6upq5OXlobW1FXv27JGt8+mnn2LOnDkoKipCSUkJvvvd7+LYsWMp/BapZenSpTjjjDNQWFiIfv364YILLsCuXbtk63z11VdYuHAh+vbti4KCAlx00UX46KOPZOscOHAAs2bNQn5+Pvr164ebb74ZJ0+eTOVXSSnLli3DmDFjYgWdWlpasGbNmthytpk57rvvPgQCAdxwww2xz9h22vzwhz9EIBCQ/QwfPjy2nO2mz/vvv48rrrgCffv2RV5eHkaPHo2tW7fGlqesbxAZwsqVK0UoFBK/+c1vxNtvvy2uvvpqUVJSIj766COvTfOM559/Xtx+++3i97//vQAgVq1aJVt+3333ieLiYvHss8+KN998U3zjG98QDQ0N4ssvv4ytM2PGDDF27Fjx2muvib/+9a9i8ODB4rLLLkvxN0kd06dPF4899pjYuXOnaGtrE+eee66oq6sTx44di60zf/580b9/f7F+/XqxdetWMWHCBDFx4sTY8pMnT4pRo0aJ1tZWsX37dvH888+L8vJyceutt3rxlVLC6tWrxZ/+9Cexe/dusWvXLnHbbbeJnJwcsXPnTiEE28wMW7ZsEQMGDBBjxowR119/fexztp02S5YsESNHjhQffvhh7Ofjjz+OLWe7afPpp5+K+vp68Z3vfEds3rxZ7Nu3T6xbt07s3bs3tk6q+oaMESjjx48XCxcujP3f1dUlampqxNKlSz20yj8oBUp3d7eoqqoSP/nJT2KfHTlyRITDYfHkk08KIYR45513BADx+uuvx9ZZs2aNCAQC4v3330+Z7V5y+PBhAUBs3LhRCBFpo5ycHPH000/H1nn33XcFALFp0yYhREQYBoNBcejQodg6y5YtE0VFRaKzszO1X8BDSktLxa9+9Su2mQk6OjrEkCFDxAsvvCCmTJkSEyhsO32WLFkixo4dq7mM7abPD37wAzF58mTd5ansGzIixHP8+HFs27YNra2tsc+CwSBaW1uxadMmDy3zL/v378ehQ4dkbVZcXIzm5uZYm23atAklJSVoamqKrdPa2opgMIjNmzen3GYvOHr0KACgrKwMALBt2zacOHFC1m7Dhw9HXV2drN1Gjx6NysrK2DrTp09He3s73n777RRa7w1dXV1YuXIlPv/8c7S0tLDNTLBw4ULMmjVL1kYAr7dE7NmzBzU1NRg4cCDmzJmDAwcOAGC7GbF69Wo0NTVh9uzZ6NevHxobG/Hoo4/Glqeyb8gIgfLPf/4TXV1dsgsNACorK3Ho0CGPrPI30XYxarNDhw6hX79+suXZ2dkoKyvLiHbt7u7GDTfcgEmTJmHUqFEAIm0SCoVQUlIiW1fZblrtGl3WW9mxYwcKCgoQDocxf/58rFq1CqeeeirbLAErV67EG2+8gaVLl6qWse30aW5uxvLly7F27VosW7YM+/fvx5lnnomOjg62mwH79u3DsmXLMGTIEKxbtw4LFizAokWLsGLFCgCp7Rt8N5sxIenCwoULsXPnTrz88stem5IWDBs2DG1tbTh69CieeeYZzJ07Fxs3bvTaLF9z8OBBXH/99XjhhReQm5vrtTlpxcyZM2N/jxkzBs3Nzaivr8dTTz2FvLw8Dy3zN93d3WhqasK9994LAGhsbMTOnTvxi1/8AnPnzk2pLRnhQSkvL0dWVpYqQ/ujjz5CVVWVR1b5m2i7GLVZVVUVDh8+LFt+8uRJfPrpp72+Xa+77jr88Y9/xIsvvoja2trY51VVVTh+/DiOHDkiW1/ZblrtGl3WWwmFQhg8eDDGjRuHpUuXYuzYsfjpT3/KNjNg27ZtOHz4ME4//XRkZ2cjOzsbGzduxM9+9jNkZ2ejsrKSbWeSkpISDB06FHv37uU1Z0B1dTVOPfVU2WcjRoyIhcdS2TdkhEAJhUIYN24c1q9fH/usu7sb69evR0tLi4eW+ZeGhgZUVVXJ2qy9vR2bN2+OtVlLSwuOHDmCbdu2xdbZsGEDuru70dzcnHKbU4EQAtdddx1WrVqFDRs2oKGhQbZ83LhxyMnJkbXbrl27cODAAVm77dixQ3YDv/DCCygqKlI9GHoz3d3d6OzsZJsZMG3aNOzYsQNtbW2xn6amJsyZMyf2N9vOHMeOHcPf/vY3VFdX85ozYNKkSarSCbt370Z9fT2AFPcN1nN805OVK1eKcDgsli9fLt555x1xzTXXiJKSElmGdqbR0dEhtm/fLrZv3y4AiAcffFBs375dvPfee0KIyFCykpIS8Yc//EG89dZb4vzzz9ccStbY2Cg2b94sXn75ZTFkyJBePcx4wYIFori4WLz00kuy4YtffPFFbJ358+eLuro6sWHDBrF161bR0tIiWlpaYsujwxfPOecc0dbWJtauXSsqKip69fDFxYsXi40bN4r9+/eLt956SyxevFgEAgHx5z//WQjBNrOCdBSPEGw7PW666Sbx0ksvif3794tXXnlFtLa2ivLycnH48GEhBNtNjy1btojs7Gxxzz33iD179ojHH39c5Ofni9/97nexdVLVN2SMQBFCiIcffljU1dWJUCgkxo8fL1577TWvTfKUF198UQBQ/cydO1cIERlOdscdd4jKykoRDofFtGnTxK5du2T7+OSTT8Rll10mCgoKRFFRkbjqqqtER0eHB98mNWi1FwDx2GOPxdb58ssvxbXXXitKS0tFfn6+uPDCC8WHH34o28/f//53MXPmTJGXlyfKy8vFTTfdJE6cOJHib5M65s2bJ+rr60UoFBIVFRVi2rRpMXEiBNvMCkqBwrbT5pJLLhHV1dUiFAqJU045RVxyySWyWh5sN32ee+45MWrUKBEOh8Xw4cPFI488Ilueqr4hIIQQFj1AhBBCCCGukhE5KIQQQghJLyhQCCGEEOI7KFAIIYQQ4jsoUAghhBDiOyhQCCGEEOI7KFAIIYQQ4jsoUAghhBDiOyhQCCGEEOI7KFAIIYQQ4jsoUAghhBDiOyhQCCGEEOI7KFAIIYQQ4jv+P9kEkVTjBx4qAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "death_df.plot()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "H3W83prDV_39" }, "source": [ "This is not what we want! When asked to plot the data, it tries to figure out what we want based on the type of the data. However, that doesn't mean that it will successfully do so!\n", "\n", "Oh by the way, depending on your environment, you may not see any plot. If you don't see anything run the following command." ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "executionInfo": { "elapsed": 4, "status": "ok", "timestamp": 1684852744617, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "gpU22pmjV_39" }, "outputs": [], "source": [ "%matplotlib inline" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "L-fpNQYZV_3-" }, "source": [ "The commands that start with `%` is called [the magic commands](http://ipython.readthedocs.io/en/stable/interactive/magics.html#magic-matplotlib), which are available in IPython and Jupyter. The purpose of this command is telling the IPython / Jupyter to show the plot right here instead of trying to use other external viewers. " ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "T5xSTa1-V_3-" }, "source": [ "Anyway, this doesn't seem like the plot we want. Instead of putting each row as a point in a 2D plane by using the X and Y as the coordinate, it just created a line chart. Let's fix it. Please take a look at [the plot method documentation](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.plot.html). How should we change the command? Which `kind` of plot do we want to draw? \n", "\n", "Yes, we want to draw a *scatter plot* using x and y as the Cartesian coordinates. " ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 467 }, "executionInfo": { "elapsed": 236, "status": "ok", "timestamp": 1684852745073, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "ua7HqxqzV_3-", "outputId": "f8384e7c-26c3-4975-8996-68c4c974762f" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "death_df.plot(x='X', y='Y', kind='scatter', label='Deaths')" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "orVd0jffV_3-" }, "source": [ "I think I want to reduce the size of the dots and change the color to black. But it is difficult to find how to do that! It is sometimes quite annoying to figure out how to change how the visualization looks, especially when we use `matplotlib`. Unlike some other advanced tools, `matplotlib` does not provide a very coherent way to adjust your visualizations. That's one of the reasons why there are lots of visualization libraries that *wrap* `matplotlib`. Anyway, this is how you do it. \n" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 467 }, "executionInfo": { "elapsed": 9, "status": "ok", "timestamp": 1684852746794, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "xJjY_vASV_3-", "outputId": "506e9547-11e7-4014-998d-2d637b0a1a11" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "death_df.plot(x='X', y='Y', kind='scatter', label='Deaths', s=2, c='black')" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "mmWz1z7AV_3_" }, "source": [ "Can we visualize both deaths and pumps? " ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 899 }, "executionInfo": { "elapsed": 542, "status": "ok", "timestamp": 1684852747485, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "ISvIDLRpV_3_", "outputId": "9da2877e-410e-4257-dc03-1b276586a7b8" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "death_df.plot(x='X', y='Y', s=2, c='black', kind='scatter', label='Deaths')\n", "pump_df.plot(x='X', y='Y', kind='scatter', c='red', s=8, label='Pumps')" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "Tm-WOGmxeVZ_" }, "source": [ "Oh well, this is not what we want! We want to overlay them to see them together, right? How can we do that? Before going into that, we probably want to understand some key components of matplotlib figures. " ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "I3WkLGsOV_3_" }, "source": [ "## Figure and Axes\n", "\n", "Why do we have two separate plots? The reason is that, by default, the `plot` method creates a new \\emph{figure} instead of putting them inside a single figure. In order to avoid it, we need to either create an [Axes](https://matplotlib.org/api/axes_api.html) and tell `plot` to use that axes. What is an `axes`? See this illustration. \n", "\n", "\"figure,\n", "\n", "\n", "A figure can contain multiple axes ([link](https://matplotlib.org/gallery/subplots_axes_and_figures/subplot_demo.html#sphx-glr-gallery-subplots-axes-and-figures-subplot-demo-py)). The figure below contains two axes:\n", "\n", "![multipleaxes](https://matplotlib.org/_images/sphx_glr_subplot_demo_001.png)\n", "\n", "and an axes can contain multiple plots ([link](https://matplotlib.org/gallery/api/two_scales.html#sphx-glr-gallery-api-two-scales-py)). \n", "\n", "![multipleplots](https://matplotlib.org/_images/sphx_glr_two_scales_001.png)\n", "\n", "Conveniently, when you call `plot` method, it creates an axes and returns it to you" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 449 }, "executionInfo": { "elapsed": 166, "status": "ok", "timestamp": 1684852749490, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "LCXtKHnNV_3_", "outputId": "d55f0eb2-7fee-420f-b0d2-a6be709b3bbd" }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ax = death_df.plot(x='X', y='Y', s=2, c='black', kind='scatter', label='Deaths')" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 10, "status": "ok", "timestamp": 1684852749491, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "HW1x9mSPV_3_", "outputId": "1977941e-e753-4578-cf2d-e608fe4604d7" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ax" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "B3dp1tBFV_4A" }, "source": [ "This object contains all the information and objects in the plot we see. Whatever we want to do with this axes (e.g., changing x or y scale, overlaying other data, changing the color or size of symbols, etc.) can be done by accessing this object. \n", "\n", "Then you can pass this axes object to another plot to put both plots in the same axes. Note `ax=ax` in the second plot command. It tells the plot command _where_ to draw the points. " ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 467 }, "executionInfo": { "elapsed": 351, "status": "ok", "timestamp": 1684852751467, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "C1Q8tKHLV_4A", "outputId": "3f46d485-8359-42f6-ea7b-006a31f4f3bb" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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cr0OHDqbXojUYzBAReRCDwYCNGzciOzsbAwcOxPz58xnQWKFSqRAeHo5bb73V6mGM5Ho+Pj6tzsiIGMwQEXkIo9GIDRs2YOvWraYaBL1ej5CQEIlbJl9t2rRx2oBK0mG4TkTkIfR6PXJycuDj44O6ujrExMRAq9VK3Swil2NmhojIQ2i1WgwcOBAAEBMTg4SEBE4xkVdgMENE5CHUajXmz5/P4l/yOgxmiIg8iFqtZo0MeR2G7URERKRoDGaIiIhI0RjMEBERkaIxmCEiIiJFYzBDREREisZghoiIiBSNwQx5NaPRCJ1OB6PRKHVTiIiohbjPDHkto9GI5ORkZGZmIjY2lgfyEREpFK/c5LX0ej0yMzNRUlKCzMxM6PV6qZtEREQtwGCGvJZWq0VsbCzCw8MxcOBAHshHRKRQnGYir8VzbIiIPAODGfJqPMeGiEj5eCtKREREisZghojIxbgFAJFrcZqJiMiFuAUAkevxL4qIyIW4BQCR60kazBw+fBjjxo1DREQEVCoV9u3b1+hrzp49i/vuuw/BwcEICAjA4MGDUVRU5P7GEhG1ALcAIHI9SaeZqqqq0K9fP8yZMwcTJkxo9Pm8vDz86U9/wsMPP4znnnsOQUFBOHPmDPz9/SVoLRFZMhqNXNreDG4BQOR6KkEQBKkbAQAqlQp79+5FXFyc6WNTp06Fj48P3n333RZ/3/LycgQHB6OsrAxBQUFOaCkRAawFISLXcmT8lu2Vx2g04vPPP0ePHj0wevRo3HrrrRgyZIjVqShztbW1KC8vb/AfETkfa0GISC5kG8xcvnwZlZWVWLt2Le655x58/fXXuP/++zFhwgQcOnTI5vPWrFmD4OBg03+RkZFubDWR92AtCBHJhWynmYqLi/G73/0O06ZNQ2pqqunr7rvvPgQEBGD37t1Wv09tbS1qa2tNj8vLyxEZGclpJiIXYM0MEbmKI9NMst1n5pZbboFGo0GvXr0afLxnz544evSozef5+fnBz8/P1c0jIvA4CCKSB9neSvn6+mLw4MHIyclp8PHc3Fx07dpVolYRERGR3EiamamsrMT58+dNjwsKCpCVlYWOHTuiS5cuSEpKwpQpU/DnP/8ZI0aMwJdffolPP/0UBw8elK7RREREJCuS1swcPHgQI0aMaPTx2bNnIyUlBQCwbds2rFmzBr/++iuio6Px3HPPYfz48Xb/DC7NJiIiUh5Hxm/ZFAC7CoMZIiIi5fGIfWaIiOSGp18TyZNsVzMREckJdzwmki/+JRIR2YE7HhPJF4MZIqL/09Q0Enc8JpIvTjMREaH5aSSefk0kX/xrJCKCfdNI4o7HDGSI5IV/kURE4DQSkZJxmomIFM1Zh11yGolIuRjMEJFiOXu5NA/OJFIm3noQkWJxuTQRAQxmiEjBWOdCRACnmYhIwVjnQkQAMzOyxPNfiOzH5dJExMyMzPD8FyIiIsdwlJQZFjR6N2bliIgcx2BGZljQ6L3ErNyyZcuQnJzMgIaIyE6cZpIZFjR6L2tZOSn2PHHWJnRERO7CK5XUamqA/Pz6f/8PCxq9kxyycswOEZESMTMjpQMHgAkTgPJyICgI2LMHGDlS6laRROSQlZNLdoiIyBG89ZdKTU19IFNRUf+4oqL+sVmGhryP1Fk5OWSHvB2LwIkcx8yMVIqL6zMyIkGof1xcDNx+u3TtIo9kbx2MHLJD3oxbMxC1DP9KpBIRUT+1pFLVP1ap6h9HREjbLmpE6XfK4gD55JNPYv369TAYDE1+vRTZIaX3sbNwawailmEwIxV///oamcDA+seBgfWP/f2lbRc1YDQasXnzZixatAibN29W5GCr1+tx4sQJ/PDDD9i6dSs2btwoq9+DRce/4TQfUctwmklKI0cCly7VTy1FRDCQcSN7p110Oh127dqFCxcuID8/H5MnT0anTp3c2NLW02q1iI6OxtGjR+Hj44Ps7GxZFfay6Pg3nOYjahkGM1Lz92eNjJsZjUZs2rQJGRkZGDp0KBYuXOjRg4ZarcaSJUugUqmQnZ2NQYMGyeqOX8xGZGZmMhuB36b5iMh+KkEQBKkb4Url5eUIDg5GWVkZgoKCpG4OycCVK1cwfvx4FBUVITw8HJ999hlCQ0Otfq154DNs2DAsWLBAsYGPnDfDc1fb5NwHRNSQI+M3MzPklQRBQFVVFYqKipCSkoKkpCSrg5tarcbChQsxbdo0WQyA4mAs/oE70iY53/G7o21ibc6JEycQHR2NJUuWQKPhJZDIE/AvmbxOSEgI4uLisGXLFvj7+yM3N7fJOg25BAHmg3FVVRUCAgIwcOBALt+1k3kh9NGjR6FSqZCYmMi+I/IADGbI66jVaiQmJkKlUiEnJ0d2NSS2iIWyRUVFKCoqQpcuXaBSqby6YNYRci+EJqKWYzBDXkmj0WDp0qWKqp8QC2UFQUBISIgpM6OEQEwO5F4ITUQtxwJgIgVpTc0M1WMRsLzw9SBbHBm/+c4hUhCxfkej0cj6ZHU57+gr9flX9JumNqV05D0k5/cbuQenmYjIqVp7vhDv1D1Hc6+l+aaUP//8MyZMmIDw8PAm30OW35PnWRHAzAwRtUBTd8KtOV+IRxt4DnGPpieeeAJ///vfG5wJZv7+EQQBOp0OP//8MxYsWACDwWDzPWR+ztgrr7zS5NeSd2Fmhogc0tx+LY7s6Gt5l82jDTyHmHU5e/YsvvrqKxiNRixbtgwATJmU/v374y9/+Qv+85//QK1W4+eff0ZBQQG6detm9T1kubxeEAQsWbKEO0gTgxkickxz+7XYe76QtekBHm0gDVdN7dXV1aG6uhoA8MEHH2DOnDnQaDSmgBUAXnjhBfz00084c+YMBg4ciKioKJvvIa1Wi5iYGNPy+pycHJSVlfE8K2IwQyR3YkoegCwKV+3Zr8Vyo0Frg6WtLIwzBybW3zTPPNMWExODhISEVu2MbN7nEydOxC+//IKqqipcvHgRKSkpSExMNAWsAwYMgEajwfvvv4/CwkJERUWZfra1zSrVajUSEhIgCEKDPaLksrElSYfBDJFMiUHMe++9h927dwMApk+f3uT5UOaBj1ardcnybUf3a7FVoGkrC+OsgYmFofaxNnWzdOnSFvWVZZ8vWbIE169fx86dO9G2bVvk5uaaMik6nQ4ffPABli9f7tDro8Q9osj1GMwQyZA4KKSlpSEnJwelpaUAgPT0dEydOtXqYC8uc921axcAIDIyEu3bt3fJkQcajQaJiYl2DSi2MjD2Tke1lJLqb+zNILki02Rt6qalfWXZ5xUVFVixYgVUKhWKiooaZFLUajVOnjzZoteHmRiyJGlIe/jwYYwbNw4RERFQqVTYt2+fza+dP38+VCoVXn31Vbe1j0gq4qBw9epVaDQahIWFoUuXLhg+fLjNLIher0d6ejouXLiAwsJCnDhxAkVFRS5b4WHvfi1iBiY8PLxRHYwr93xp6ufKib0ruFy10kucunn44YcxZMiQVu2MbNnnwcHBePvtt3HhwgXExMTg0UcfbVD/ooTXh5RB0sxMVVUV+vXrhzlz5mDChAk2v27v3r3IyMhARESEG1tHJB3xQg8AY8eOxcSJE5sd+LVaLYYNG4b8/HwADTMzUg4Urs7AyO3nOsreDJIrM032Tt00lxky7/Pg4GAUFBTgxIkTKC0thUqlQllZmanNSnl9SBkkDWbGjBmDMWPGNPk1Fy9exN/+9jd89dVXGDt2rJtaRiStllzo1Wo1FixYgMmTJwNwXc1MS0g1LWDt58qtKNjeFVyuXunV3Gsk7huTkZGBoUOHYuHChTYDGq1W2+CE97CwMKtt5nQROYusa2aMRiNmzpyJpKQk9O7d267n1NbWora21vS4vLzcVc0jcqmWXOjVajU6depkeuyNA0VTwYoci4LtDVylyGSY96VOp0NqaiouXLiA/Px8/OUvf0H37t2ttkPMIpWWliIsLAxPPfUUunXrJnlfk+eS9Ttr3bp10Gg0eOKJJ+x+zpo1axAcHGz6LzIy0oUtJCI5aa6uRK67xdpbO+TOc6Wa6svS0lKsWLECmzZtslq7Y14PM2jQIAYy5HKyfXedOHECr732GlJSUqBSqex+3vLly1FWVmb678KFCy5sJRE1x2Aw4Ny5cw22s3eV5oIV80F2wIABMBqNPDLBBrEvi4uLkZaWBqB+a4AhQ4ZAEARkZGQgNTXVtBWAOTGLtG7dOsybN4+BDLmcbN9hR44cweXLl9GlSxdoNBpoNBoUFhYiMTERt912m83n+fn5ISgoqMF/RCQNg8GAGTNm4N5778WMGTNcHtBYW01jfoaUOMiuWbMGQP3Nj7edAWXvCdNarRb9+/fHtWvXUFBQgI8++gjz5s3D6tWrERYWBpVK1eSNJk8nJ3eSbc3MzJkzMWrUqAYfGz16NGbOnImHHnpIolYRUVMs61UKCgpw8uRJ6PV6nDx5EgUFBejevbvLfr55XUlgYCA2bNiAnJycBnvttHaPEyVzpGZIrVZjypQpyMjIML1+ZWVl6N69O2bMmIH09HQMHz7cK/qN5E/SYKayshLnz583PS4oKEBWVhY6duyILl26NPoj8fHxQVhYGKKjo93dVCJqhrWBMioqCgMGDMDJkycRGxuLqKgol7dDXE3zyiuvYOvWrfDx8QGABgGLt54B5ejy7pCQEAwfPrxBP4mr5qZOnSqbFWFEkgYzx48fx4gRI0yPlyxZAgCYPXs2UlJSJGoVkWdz1dJkWwPlzp07UVBQ0ODcHVfT6/XIzs6Gj48P6urqEBMT02izPm/c48TRIM5WP3FJNcmNpMHMXXfdBUEQ7P76X375xXWNIfICrlyabGug1Gg0Lp1astWWgQMHAoDp8ETL39MbB+SW7l/kbf1EyiPbmhkib9LabIn4/ODgYNMKHmvFl67cRVZO2Q45tcUVWvN+YXBCnojBDJEEzFeUGI1G7NixA7m5uS06FFLMtpw4cQKVlZUoKiqCSqXCgw8+2GiXVql3kXUnW22xJxCQ2y7B5hzNrsn5dyFyFgYzRG5mfrp1cXExjEYjampqcOuttwKAw9kSMdtSVFSEgoICVFdXo02bNsjIyMC0adMafC9Pz1g0x55AQI67BJuzN7smBszvv/8+srKyZPm7EDkLgxkiNxNPty4sLIRer4cgCPD19UVNTU2jQlV7iNkWQRAQEhKCwsJCqFQqDBs2zOr3klP2xN3sCQRcORXnDPZk18SALC0tDfn5+ejQoQMAxwNlIqVgMEPkZuanW/v6+gIAwsLCcP/991stVG2O5UnFTdXMeDt7AgFrXyOnqRp7smtiQCa+Fzp27Nhgx2OpfwciZ1MJjiwnUqDy8nIEBwejrKyMuwGTbFjuwiqH3VLNi4jlctq2PRwNNBytmTEajdi4cSOys7NbVNMkBfOpsv79+2PkyJE4cOAAp5tIURwZv5mZIZKA5enWUjMYDNiwYQOys7NRXV2NgIAARQzcYv1Reno6hg0bhgULFth9WKM9X2M0GrFhwwabm+/JlZi9EWtmVq9ejfz8fGi1WllOnRG1FoMZIi8nZh62bt0KlUoFo9GIrl27QqVSyW7Qs8yq6HQ67Nq1CxcuXEB+fj4mT57scJAoZsmAxlNzer0eOTk5NjffkzPx2IasrCxcvXoVwG/77yjldyCyF4MZIi9nvlvujRs30Lt3b3Ts2FEWg5558AKg0Sqj1jIYDHjllVewb98+q8vZ7dl8T87E+h8AGDt2LCZPniz5dCaRKzCYIfJylgP2okWLUFFRIXnNjOUS6UmTJlldZfTggw8iIyMDw4YNcyiLJGaktmzZAp1Oh4CAgEbL2ZW+lN1W++VU0EzkDAxmPAAvTOQIy/eLtQFPDlNLlkukJ02a1GiVkVqtxsKFCzFt2jSH3/9iRsrPzw8+Pj4IDw+3upxdLv3RUpbtl/s+OkQtwWBG4XhhIkfYer9IMWA3F4RbLpEOCQlptAS9NcGXeUYqOjoas2fPRqdOnST5+2nNDYmjz5X7PjpELcFgRuF4YSJHyOX9Yk8QbmuKRKvVmo5viI6OxpIlS1p0GndzU0juyni25oakJc919ZEWRFJgMKNwvDCRI+TyfrE3qLKWddHr9Thx4gR++OEHHD16FCqVComJiS0KOKxNweh0OhgMBmzfvh3nzp2za4l6awKf1gSYLXmu0uuAiKxhMKNwvDCRI+TyfrF3S35r7dRqtYiOjsbRo0fh4+OD7OzsVmeYxCDmvffew+7du3Hx4kVcv37dtMy7qe9vMBhataleawLMlj5X6XVARJYYzHgAXpjIEebvF6mKx+2Z4tm8eTPS0tLQt29fJCYmmqaS1Go1lixZApVKhezsbAwaNKhVGSbzc4xycnJQXFyMa9euQaPRoLa2tsm9ZZyxqV5rAky5BKdEUmMwQ+SlpCwet9w/5sqVKwB+27ROp9Nh586dyM7OxjfffIOqqiqsWrXKFNBoNBokJiY6ZRAXp2quXr0KjUaDiIgI+Pn5ITQ0FHFxcU3uLeOsTfVac0PCmxkiBjNEXkuqYmCj0YhNmzYhIyMDf/jDH6BSqbB7924IgoC4uDgkJiYCqJ++uXHjBmpra7Fr1y4EBgY2qI1x1iBuubHcxIkTG3z/pgIlpW+qZw/zM7t4iCnJFYMZIi8lVTGwTqdDamoqLly4gJycHHTt2hVFRUWoqqpCcnIyACAxMREzZ87EO++8g4sXL6Jt27ZOqY2xxp3TPEraE8poNOLKlStISUlBTk4OqqqqUFRUZHWnZCKpMZghRVHSYCB3LRnEnd3/Pj4+GDhwIAoLC03Byocffoj4+Hg8/vjjmDJlClJSUpCbm9vq2hhLlr+Lq6d5lLQnlJg92759OwoLC9GxY0fU1dXh+vXraNOmTaOdkomkxmCGFENJg4FSODKIO6v/Q0JCMH36dKSnp2P48OGYO3cu4uLiMHPmTJw/fx5FRUVISUlBUlISQkNDkZSU5PQAVvxdWrtXjSPkssePPfR6PTIyMlBSUoK6ujrU1dWhb9++KC0thUqlsrpTMpGUGMzIWU0NUFwMREQA/v5St0ZyShoMlKip06MB5/W/Wq3GggULMHXqVFOAEh0djUmTJmHLli3w8/NDbm6u6fu7osDVfK+agwcPoqqqCitXrnRpQOPotJ6UWUitVouhQ4ciPz8fABAXF4fFixejrKwMAGtmSH4YzMjVgQPAhAlAeTkQFATs2QOMHCl1qyQllw3fPJE4rZCamgoAmD59OhYsWNBofxdn9b9lgKJWq03Fvc5Ybm2LeTFrjx498Omnn6KyshKbNm2CIAgNVkw5myPTeu7OQlo7r2vhwoWYMmUKgN+CF3HfHSK5UQmCIEjdCFcqLy9HcHAwysrKEBQUJHVz7FNTA4SGAhUVgCAAKhUQGAhcuuT1GRrWzLiGTqfDokWLcOjQIQDAnXfeiddee61RRsTV/e/s72+5BDw5ORnHjx9HZGQkHnnkEYwfPx7Z2dkAgPDwcMyfP7/Fuwk7k06nw7Jly1BSUoLw8HCsW7fOZVlITt+SXDkyfjMzI0fFxfUZGZEg1D8uLgZuv126dskA99RwDfNpBZVKheHDh1vNjLi6/535/c2XgA8dOhRTpkzB8ePH8cUXX6C6uhqnTp3CrFmzsH37dvz666/w9/d32YopR7kzC2nv9CFvJEjOGMzIUURE/dSSZWYmIkLqlpGTyG1gsDWtoGTiEvCioiLk5OTggQceQGRkJKqrq2E0GvHzzz9j3bp1mDZtmstWTLWUO3f2tfdoCWZvSM4YzMiRv399jYxYMxMYWP/Yy6eYlMpgMKCgoABRUVHQaDSyHRjkXBNh2Yf2EgTBtD/Kjh07sHz5cpw+fRpnzpzBwIED0a1bN2g0GpesmGotd2Uh7QmcWHxPciePv1pqbOTI+hqZvLz6f2Vc/CturnXlyhUYjUapmyMrBoMBM2bMwL333osZM2bAYDBYHRjINrEPx44di0mTJuHGjRsNPi+uwrJ874WEhCAuLg4hISHo1KkTcnNzUVVVhQ8//BCff/453n333QbnPbU0G2Xr5yuJ5e9v+TuJ2Zvw8HAW35MsMTMjZ/7+sq+RMRgMeOWVV7Bv3z7uDGpFQUEBTp48Cb1ej5MnT6KgoADdunXjqqxmmC8Tv3r1qin4Ky0txYoVK7B06VJTFslWlktcIaVSqZCTk2OaQlKr1ejevXuL22WewZB61ZGrfoa134kHWpKcMZihFjMajdi4cSO2bNkCnU6HgIAAl+8Mas/FvLn9UtwpKioKAwYMwMmTJxEbG4uoqCgODM2wXCY+btw49OzZ07Rh2/bt23Hw4EHEx8dj8uTJTU5/aDQaLF261Cl9bW2Qd+f0i7sCJ1u/E4vvSc54FaUW0+v1yM7Ohp+fH3x8fNCpUycMGTLEZZkG8WK+bNkyJCcnW03riwPh+PHjMX78eGzevFnS9L9Go8HOnTvx2WefOW1aw9OJu89euHABZ8+exVtvvYXBgwdj3rx5uOWWW1BXV4eSkhKkp6cDQLPTHy3ta8upFmuDvDunX9w1PckpJVIiZmaoxcQTgwVBwNWrV9GuXTuXDs723AWbD4QAkJ6ejqlTp0p6R6nRaFo8reEp7J0eMRqNMBqNGDJkCHJyckxLpT///HPs2bMHt9xyC/bt2we1Wo3hw4cjJCTEJVkua1kQa6t+5LbqyBnMf6fg4GCbWU65rcgj78ZgxkO56kJj+X3nz5+PvLw8rF27FqWlpab6EFcED5YXc/FCa/472rtfCrmP+TlIMTExSEhIMGWorG1ql5mZif79+yMlJQWzZ882TS+Jq47mzJkDoOHg6orjDqwFztYCFzmtOnLmz9Jqtdi8eTN27doFAA3q4eS6Io+8F4MZD+SqC42t79utWzcMHDiwySDDGcwv5oGBgdi4cSOys7MxcOBAU1vkvF+Kt97Jmp+DdOTIEVRUVOCxxx5DSEgI3nrrLdP7adKkSaYAAgCmTJmC+Ph4ZGRkYNiwYW7dUt9WFqQlgYu9dV72vDfcWbei1+uRnp5uynKa18NxqTbJDYMZD+SqC01ThYHmaWnzAcrZd2ziHeP69euxdetW+Pj4mNom/o5y2y9FrL344IMPTIXA3nQnq9VqERMTYwpkNm/ejC+++AITJ05Ebm4uSktLkZmZiUmTJjUIIEJCQrBw4UJMmzbN7QGgs7IgBoPBatBtTq5ZDq1Wi2HDhpkOmzQ/KZvnpJHcMJjxQK660DT1fcU7Rp1O5/I7Nr1ej5ycHPj4+KCurg4xMTGyvZiKA1VaWhry8/Oh1Wq97k5WrVYjISEBVVVVePfdd3H16lWUlJTg9OnT6NevH1QqlSl4sRZASNVPrc2CGI1GbNiwwWbQLZJrlkM83Xzy5MkAGmY5LYM9AC7JxhLZi8GMB7J1V9naaQ57vq877tjEwmMAphoMuV5AxYHq6tWrAOrbPmDAAFOhq1zb7WwajQbPPPMM2rZta9qTaPjw4Zg3bx7KyspkEbw4m71Bt5yzHOZZTnFzTOC3wCYkJES2mSXyLjw1W6ZccXqwu+poALhlYy8l1J+Y98+AAQMwceJEfPTRR1453QTIaw8gV7BW0Gyt8Lmp58mxT4xGo81iYHee8E3ehadmK5z56o/o6GgsWbLEofNorHF3HY2rL2ZK2cDLMpsl7gQstykFd5FbPZMzWQvs7a27cdX72VlBUlPFwHLOLJH3kPQW4PDhwxg3bhwiIiKgUqmwb98+0+fq6uqwbNky9OnTBwEBAYiIiMCsWbNQXFwsXYNdyHyDLvPVH1u3bsXGjRtbvfGbqzbCUvoGW2K/GwwGl52vY75pm1z7q6nzhTzh7KHWsuf8MWuBvZSbI9qzyaS9xGLgyMhIREZGNigGFgP2devWYd68ebLMLJHnkzQzU1VVhX79+mHOnDmYMGFCg89VV1cjMzMTK1euRL9+/aDX67Fo0SLcd999OH78uEQtdg3LTMzixYsRHR2No0ePwsfHx7RxWGvu3Fy1R4Uct+a3dynslStXkJKSgpycHFRXVyMgIMDmihNnkWt/bdq0Cenp6ejbty8SExMb7APj7fUQTU2xmE+byS1D4cxsbFPFwOLnvSnDSPIjaTAzZswYjBkzxurngoOD8c033zT42Ouvv44//OEPKCoqQpcuXaw+r7a2FrW1tabH5eXlzmuwi5hnYo4ePQqVSoXFixdDpVIhOzvbdECeI6wN6K664MjpQmbP4CsO3tu3b0dhYSG0Wi0EQUDXrl2hUqlcPvUjp/4C6lehpKam4ueff8bXX38No9GIZcuWQa1WS7LSRm71I7amWLRabYMzpKZPn261oNkZWlJr5OzgypOnCEn5FFUzU1ZWBpVKhQ4dOtj8mjVr1uC5555zX6OcQKvVNsrEVFRUIDExsUUXdW++m3bkyIOSkhLU1dXBYDCgb9++6NixoyzuqKVQV1eH6upqAMDHH3+MRx55BJ06dXJ7tsEV9WKtZWu/FWccnSEGbmKRo7W/9aYyQ02RYxaQyFUUE8zU1NRg2bJlmDZtWpNVzcuXL8eSJUtMj8vLyxEZGemOJraYWq3GkiVLGmViWnoHL9d9Kyy54g7cnsHX/MgDAIiLi8PixYtRVlbmlDbIia07evO+DwkJwQMPPICCggIYDAbTniiA6wdEy/eA5W7B1dXVeOaZZyQNaGxNsbT26AxxQ72zZ882Oc3ZVPGtPW2X498+kbPZfYUoLi5GRESEK9tiU11dHSZPngxBELB58+Ymv9bPzw9+fn5uapnzaDSaFmdiLEk5d+/IgYLOyB5Z/jx7Bl/LIw+0Wi10Oh1SUlKQm5vr8roZdzG/o6+rq8OsWbPw2GOPAUCjvl+6dClUKhVOnz5tOsBR5MwB0dbSZTELI2Ypxd2CU1NTERAQgMTERElfD2tTLK05OsN8Qz21Wo2bN2/anOa0zAwNGTLE6/YpImqO3cFM79698cYbb+DBBx90ZXsaEQOZwsJCfPvtt4raK8ZRzho0nHU37WjmxJEpAkezR9baYisgsqcfxcFJHPBTUlJQWFhoGrDkms1qjnk/6fV6pKWl4ezZs7hx4wZ27NiBqVOnQq1WW+37pKQkl05JWB44OWvWrEa1YomJiViyZAmqq6uRmpoKX19fpxTAu0pL60jMN9S7ceMGevfubXOa0zwzZDQa8dFHH2H58uVeN4VM1BS7g5nVq1dj3rx52Lt3L95880107NjRle0C8Fsgc+7cOXz33XeyvJjJVWsDI3vPlLE1RWA+OFm72DqSPbIVJDljOk1M4Yv1M7W1tZIfj9DS6TexsDkjIwNDhw7F/Pnz0bdvX1MhvRhYNnuIYk0NUFwMREQA/v5O+z0s3x83b95Ejx49rK7ae+aZZxAQENDiAni5s9zFetGiRaioqGgym9ipUyfodDqv3qeIyBa7g5mFCxdizJgxePjhh9GrVy9s2bIF48aNa9UPr6ysxPnz502PCwoKkJWVhY4dOyI8PBwTJ05EZmYmPvvsM9y8eROlpaUAgI4dO8LX17dVP5tss+dMGWtZEWuFzLYuto5kj2wFSc6YTjNP4RuNRvz1r3/F3/72N8mKJlsz/SauSrpw4QLy8/MxZcoUJCYmAkCD6aMm+/7AAWDCBKC8HAgKAvbsAUaOtLvtllNIlu+PmJgY0/vj3LlzeOmll6BWqxsFLc6cdpUja6+BPUGJ3JZ/E8mFQ1V1UVFR+Pbbb/H6669jwoQJ6NmzZ6NphMzMTLu/3/HjxzFixAjTY7Fwd/bs2Xj22Wexf/9+AED//v0bPO+7777DXXfd5UjTyQH2nCljKytirZDZFkcu4LaCJPMBwWg0Ii8vD1FRUXYXjIop/IkTJ5r2nImPj3fLnjPWOKt4W6VSAagPCqxNH1nt+5qa+kCmoqL+cUVF/eNLl5rN0Fhmz2bPnm3190hISIAgCMjJycGgQYPQqVMnm0GLpxevtuT3sxYEefoREUT2cHiJQGFhIfbs2QOtVovx48e3apXBXXfdhaaOhvLwY6Nky56DHG3dIbrijtrWai/xcyEhITAYDJgxYwZOnjyJAQMGYOfOndBoNHYtfVWr1dBoNDh37hwuXLiAwsJChIeHA3B/7Uxr7rxDQkIwffp0pKenNyjitXvQLC6uz8iIBKH+cXExcPvtTT7VMnsmCAIGDBgAAI3eH0uXLpXNydhKZP56tnTZNpGnceigyS1btiAxMRGjRo3Cm2++qYgNlJR60KTU7N1F153TAJbTGOZ3o3l5ebj33ntNn//ss8/QrVs3U7agqqqqyWyLmFk4fvw4Tp06hYqKCsTGxpqCIndqTb+2pt5GX1KCjr16QVVRAQgCBJUKQvv2QGkp1O3aWX2ewWBAXl4egoKCsGPHDmzbtg0+Pj4YMmQI1q5da1rC7Kr3h5w22JOiLTqdDosWLcKhQ4cAAHfeeSdee+01pweHcupnRzmz7UruByVyyUGT99xzD44dO4bXX38ds2bNanUjPYEnv7HtXRHkrjtqy0BG3Hm1rq4Os2fPxty5czFgwADTadRRUVGmKZuioiLTrtG2dvgV0/d5eXlYs2YNLly4gICAAJSVlbk9a9CafrX3ubbqW8bNno37tm+HqrwcN/z88M8//QntUlKsBoAGgwHTp0/Hd999h/bt22PRokWYM2cOcnNzMWjQIJdPechpc0ip2mK5bLtPnz4IDg526s+QUz87ypltV3I/eAO7g5mbN2/i9OnT6Ny5syvboxie9saWc2Bm2deTJk1Cenp6gyXHU6ZMwc6dO1FQUGCqmRGnbARBQEhIiCkzY2vqRq1Wo1u3bhg0aBDUajViY2M9cj+Ppupb9oeFoff330N7/TpWvPEGLly5gnAbtTsFBQU4ceIEysvLUVVVhaNHj2LTpk0uz8aI5LQ5pFRtsaz5ys3NxVtvveXU65Gc+tlRzmy7kvvBG9gdzFiek+TtPOmNLffAzLKvJ02ahD59+jRacqzRaNC9e3fT88yLJZuqmTEnPken0+H999/3mP08zItEATTYZbeqqgp9+/aFIAioqqrCmo0bMWDAAPQZPBiGkydtBoBRUVEYOHAgysvL0b59e9x5551uLUDVarXo378/rl+/jjvuuAMGg0GywNNarZO7bhDMa75KS0udfj1S8goqZ7Zdyf3gDRRznIHceNIb212BWUsv7pZ9HRIS0uSOtebMp13s/Z3EjfeysrIa9YkSV46IRaI7d+40TQ316NEDR44cQWVlJXbv3o2HH34YTz75JF5++WWUlpYiKysLa9aswdSpU22+XhqNBrt27UJeXh46dOiATp06SdIfubm5SEtLwyeffIIZM2ZgwYIFbm+H5SojoPHSdPPNHp39HmrqetTaoMpZm3BKwZltV3I/eAMGMy3kSW9sdwRmrcn+WOtrtVrt0h1rLfskODgYly5dwtatW/HZZ58BqD8l2drAKdWUna1BUtwJODs7G7W1tdi+fTs+++wzXL9+3bTLbm5urmkHWvOgsbn2azQaREdHu/x3s0Y86LG4uBjXrl1DbW0t0tLS8Ne//hXdunWTJKARA2adTtfgBkGn00GtViMwMBAbN27Evn37oFKpnLb6qKkl2x988IGplqylGUalLpN39t+iUvvBGzCYaQVPeWO7IzCzJ/tjvoxar9cD+G1QttbXrux/yymqN998E9u3b0d+fj4MBgMCAwOtnpJsuWV/QkKCS1ZDWV6kLZfo3nfffVi6dKmpdqhv3774+uuvUVtbi19//RVvvvkmnn76abRr186054vlvj1yD9DF4te8vDz4+fkhNDQUBoMBa9eulfx8LfNguF+/fti2bRtycnKg1+tx+vRpXL16FQEBAQ4dGtkcyyXbycnJSEtLQ35+PrRareKnw0WOnv/m6r9Fkge+sgTA9YFZc9kf8wtPZWWl6YRgW9kPZ7J1cRT7RKfTmY48EE+VDg8Pt3pKsrX9VpYuXerU9lvLcpmfrFxZWYlLly6hpqbGdOJ0YmIiqqqqsHPnTly/fh3vvfce1Go1nn766Ubb6Dd3RpZcptnE4lfxzKJr166ZpsmkHrjNa6+2bduGbdu2Qa1Wm94/Pj4+iIiIwLBhw1ySCRVvHq5evQrgt72jlDwdDjiW4XXH3yLJB4MZcjkxWJg7d67NIlzzZdQFBQW4fv061Gq1y6cN7Lk4Wi5/HTduHObMmWO1RsRyy37xbtyZg6q1LJfYxpycHBQWFpoOamzXrp0pQ7Nq1Sqo1WqkpqaioqIC7777LoxGo+njthgMBhQUFCAyMhKvvfYaPvnkEwDy2KBNrf7toMdOnTph4MCBOHHiBLp37y5pQbDYNrVajdzcXNOBkr///e9N75HZs2e7rM5IvHkAgLFjx2Ly5Mmmw0dtZTTEQFXsM6mDVWscqe9zx98iyQeDGXIpe++kzJdRd+zY0ZSZuXnzpkunDey5OJpnAICmMxJqtbrRlv3Ovhu2luUyX6K7adMm7N69G76+vg0u4BqNBs888wwEQcDmzZtRUlKCzZs3AwBWrVplNQVfU1ODBx54ALm5uWjXrh0qKytx9epVtG/f3q4pEnfWD6nVasydOxevvPIKPvnkE3zyySeSB1yOHijpLI4WJF+5cgXbtm3D/v37UVpaivDwcLdkRR3lSH2fO/4WST4YzCiYnPeGEdl7J2VZo6LX63H16tUG0wZiEaUzf1/x4ijuuRIYGAidTmd1ysneHa9tbdnfFEdeS1s1Tmq1GqGhoVi5ciUCAgKsXsA1Gg0WLlyITz/9FNnZ2aisrMSOHTsQEBCApKSkBj/bYDDggQcewNdffw21Wg1fX1+EhoaaptmamyJx15J/874rKyvDTz/9ZAqGnVmT0hLWXit3taW5gmSgvu8++OAD7NixAwUFBbhx4wZu3ryJGzduWK0Jk5qj9X0t+Vt0BiVcmz0NgxmFkvveMCJH76TEC2enTp0QEhKCAQMGID09Hd26dcPbb7+N8+fPOz1L88ADD6CsrAwnT57EzJkz0b59+1b/jOYGLWs78J44cQI9evRAfHx8s9MPTX3/5i7gnTp1wpw5c7B161acO3cO165dw0cffYT4+HiEhoaavq6goAC5ubmmAuOuXbti8ODBiImJsauN7ljyb/l3MHfu3AZTgkOHDpV840M5LBQw/zvs378/3n77bXz66aeoq6uDIAgoLS2FwWCAr68v2rdvj4iICKs1YXLgaH+6u/+Vcm32NAxmFEopm/a1dqWUIAjIzc3F0aNHcf36dVN2xBm/r3jR+f7775GWloba2loYDAb07dvX5rEHrflZ1oKXmJgYzJo1CydOnEBGRgY+/fRTfPTRR5g9e3arpkeauoCr1WosXLgQI0eOxMyZM3H+/Hn88ssveOONNxpMN4mb4gFAjx498OGHH+L69et2v462NpJrbQGxeV9a/h2UlZWZptv++9//Yv/+/XjqqackX90kNfOC5K1bt2Lr1q3Q6XQICAhAWFgYwsPD4ePjg/vuuw+zZ8+GRqORZc2MEijl2uxpGMwolD2rg+SS5mzpnZFer8cPP/xg2kfEx8cHtbW1iImJccodo3jRuXz5MqqqqqDRaNC+fXvceuut6NGjh9MKSC2XiIrBi7jKwmg0okePHjh06BDq6upQUlLi8ukRtVqN6OhoTJw4EVu2bEF1dbVphZO4Akqj0TQ6IqKdjQMnbf0M86lDcVfl1NRUAPYXENs6Ryo2NhaPPPIIoqOjIQhCg4ApJSUFH330EQoLC50aACuZWJB87tw5+Pn5wcfHB7feeitmzJiB0aNHo2PHjpJtfOhJPGlDVSVhMKNQTWU8PCXNqdVqMXToUOTn55v2EYmLi0NCQoJTfh/Ls5vatGmDIUOGoLq6Gnv37sW+ffucUkBqvkT0yJEjKC8vxx133GFaZZGbm4uXXnoJAEybqblqya45tVqNpUuXoqamBqmpqaisrMSuXbtQXV2NF198Eb6+vo2OiGjJz9BqtaY9T3JyclBaWgrAvnoWy/fyAw88gLS0NFy9ehWCIKCiogKnT59Gnz598OijjwIANmzYgC1btkCn00EQBNTW1qJHjx6STzfJgViQLAgCrl69irZt2yItLQ0//fSTKXtFreOOfbuoMQYzCmYr4+GKNKcUmR5xOmTKlCmNlouab7Bnz5lLtr6/5dlNRqMRCQkJ+PXXXwHYX0DaVP+IS0SPHDmCiooKvP/++5gzZw4eeughnDt3DoMGDUKnTp2QlJSEOXPmAHDfHi7iCicA2LVrFy5fvozNmzfjzJkz2Lt3L3x9fVv9M8z3PBGLhzUajdWAzbIfzd/LJ06cQEVFBfLz81FXV4f/+Z//wb59+/Drr7+ioKAADz/8MNRqNXJyckyZh65du+KBBx5Au3btPOacrdYQ3/N5eXlYu3atXSfKk+PkUCflbRjMeCBnT0FJmemxtorIfNqmqqrKdBp2S9plftERz14yLyC1J0Ni3p7u3bvjoYceapCuF5eIiucg+fr64ty5c1i7dm2j1Vn2rphyJjGgqa6uxubNm3Hjxg0cPnwYK1aswJo1a1q9a6rlnicTJ060uo+JtWJeo9GI/v37AwCio6Nx9uxZlJWVoba2FtXV1abnqlQq088yr/OJj4+HWq3G8uXLWcPwf9Tq+tPhxX6y50R5IrljMCMjzsp+OGMKqqkiS6kHA/MN9sS7SgDIy8tr9eZ6juwpY94e8wLejz/+GBMnTkRiYmKDE71XrlyJ9u3bIzs723R8gFwyBBqNBi+++CLOnDmDw4cPQ6VS4eOPP8Ytt9zSaMl2U2xlzOxJu1tmYTZs2ICcnBz06NEDq1evRkhICDZu3Ijvv/8e/v7+uHjxIuLi4vDTTz+ZDhu19rOMRqMpuI+NjeV0E2yfKA/A6tYERHKnEgRBkLoRrlReXm76Yw0KCpK6OTa5K/uh0+mwbNkylJSUIDw8HOvWrbN6RpKYaYiOjsbixYvx9ttvmzI98+bNk/RCZ5mZadeuHaqrq1uVoWlte9avX4+33noL//3vf6FSqRASEoK5c+c22j5dToXZ1ty4cQNPP/00tm/fDoPBgJ49e+KTTz6xK2PU2oyZ+d+AmIU5duwY6urq8MgjjyAxMRFGo9EU5AwaNAiPPvqoXdOM4iqq999/H1lZWV4/3WSNO65Bcn//k7w4Mn4zMyMT7sp+2FNpb3mmiUqlQkJCQotrU5zN8q6yoKAAa9eulexMHrVajSVLlkAQBHz00UcoKiqCv7+/1e3T5T6X7uvri6SkJBw+fBglJSWm6Rt7WMuYOVKHYfm6btiwAd9//z18fHyQnZ1t+j6We+jY+73VajWysrJkk2GUG1dfgzxlYQLJE4MZmXDFcj5rd0H2pPy1Wi2io6NNq22ys7NRVlYmqwu/+SAmzv+7aymktX7VaDRISkpCfHw8UlJSkJubq9jt0zt16oTZs2cjPT3dNH1jD8vVYfbWYVj2p/jzlixZApVKZZqWE79PSwNCLpltmqv7R27T1eRZOM0kI85MwdpzF9TUBmYGgwEbN240DSRSTy01x13pa3v7Vemp9JYUiZvXX9i7yqy5/nR2X3rCa+NKruwf89daDtPVJH+cZlIoZ05BNHcXZDQasXnzZuzatQuCICAuLq5RwWpiYqJiLvzumr6x92BKcWWUTqdr1fJxqdjqT2uDna2AxJ7Xo7n+dPbrKsdpPjkFWK7sH+6/Qq7EYMZDNZcy1uv1SE9PR1FREaqqqvDWW2/h+vXrpt1fAXle+KVmbyremcvH5cJoNGLTpk3IyMjA0KFDTZsJtmb6wNaRB95yMKC31ZHwmkKuwmDGQ5mfxWKNVqvFsGHDkJOTg8LCQlRXVyM1NRWCIGDhwoUu29ZcTnehLeHoMmOlb0pm/nrpdDqkpqbiwoULyM/Px5QpU9CpU6dWBSSW/QnA7YO7lAEF60iInIPBjIf78MMPTUuslyxZ0iDrIh7It2nTJuzevRvl5eXYvHkzPv/8c0yaNKnBtJMzeMpdqD13ly0thpUTa0cJiMxXObUkILFV9KvT6dw+uLsyoGjuYE0WJRM5B4MZD2ZtiXViYmKDlU2hoaFYuXIlVCoV3n33Xeh0OuTl5VmddnJGexwdNJSaybG1KZlcfwdr/Wz5ek2aNAnTp0+3usrJnoBEHNgNBgN27NiB3NzcRlNvUgzurjzdW6xLq6urw6xZs/DYY481+F6sIyFyDgYzHszaEmtrAYS4nb2/vz8+/vhjFBYW4vr160hNTUW7du0abfzWmvY4MlApPZNjeVSCXNnqZ8vXKyQkBAsWLMDUqVObHHhtBQebNm1CamoqLl68iOvXr1s9zVqKwd1aZklsKwBMnz4dCxYscLgter0eaWlpOHv2LG7cuIEdO3Zg6tSpjTYgZB0JUesxmPFg4mZu1vbqsKTRaPDkk0/ioYceMk07+fr6Wt34rTXtcWSg8vR6ArkUutrqZ1uvV3OvgbXn6XQ6ZGRkoLCwEHq9Hr6+vqitrUVMTAyCg4MbbKEvxeBumVnKyMjAhQsXAADp6emYOnWqw23SarXo27cvvvnmGwBw6pQtETXEvy4P58gSa/Npp4CAANOW8c5M9TsyUHlqPYFUW+vbm4Ex7+eWBhaWz9NqtRg6dCjy8/Ph5+eH0NBQxMXFYdGiRXjrrbdklX0zb6tKpcLw4cMb9Ikjxc2JiYkAgNOnTzu0ASEROYab5pFVcqlVkUs7HGWr3WJAkZaWhvz8fHTo0AERERFWz8hytqbO5XJHP4tBnHjIY0hICPR6fbNnhUnBVs2M+PodP34ckZGRWLFiBXx9fZv9Xkp8DxNJjZvmUavJZR5fLu1wRFO1PuKUjl6vB/BbXVNwcLDTfratgdMVGRhHqNXqRvUittokdQBgra1A/et3/PhxfPHFF6iqqsLx48exd+/eJgMaZ/et1H1DJEcMZoicrKlaH/PBe8yYMaisrER2djbeeuutVk+xNFcw7UjNUkuPM3B0gLXWJvOjNOS20aBWq0VkZCSqqqpQW1uLI0eOYMWKFVi6dKnL9mYyp/SieCJXYTBD5GTNZUDEwdtoNGL58uUtPu3bMoBw5KiF5r6vIwNmawdY8zYZDAa8+OKLSE1NNWU75FT4rVarsWLFChw/fhxHjhyBSqXC9u3bcfDgQUycONHpezNZ8vSieKKWYjBD5GTNZUDMz24Sg54BAwbAaDSa6kmaYy2AcFbBtKMDprMGWKPRiA0bNiA1NRUVFRUIDAxEdHQ0DAYDrly50uL9XpzN19cXe/fuxTPPPIOPP/4YV69exblz57BlyxaoVCqnbWVgSXx/DBgwAAA8qiieqLUYzBC5gD0ZEPMjJz744AMsX768UWbDViGqrQDCGXu0OHo8gTODqJycHPj6+iIwMBDTpk2Dr68v7r//fgAt3+/FFXx9ffHSSy8hJCQEH374IYqKiuDn5+fUrQzMmZ/11aNHD6xevdot01pESsFghkhC4r4qJ0+etLpjrq3N22wFEM4oNnX0eAJrmaiW1NBotVoMHDgQABATE4NZs2YhMTGx1fu9uIpGo0FSUhLi4+ORkpKC3Nxcu7YyaEnfmO/mfeTIEVRXV7v0DDUipWEwQyQxW4GJXq+3uXmbq3fKdfS8JPOvb2kNjbUgqqn9XuRA3JspKSnJ7sJq8wxLfHy8XQGJVqtFTEwMjhw5gvLycmzatAmffPIJpk6diqVLl3JDPvJ6/AsgkpitwKS5zdvctWzd0Wmk1tTQWP5OCxcuxJQpUwA4dkaSM85WcoS9r4WYYcnIyMCnn36Kjz76CLNnz8bChQtttlHM5CxatAhVVVXYsWMHSkpK8PPPP2P9+vWorq7GqlWrFBvQcKk5OYOk75zDhw9j3LhxiIiIgEqlwr59+xp8XhAErFq1CuHh4Wjbti1GjRqFc+fOSdNYIhcSB0PL6ZuFCxfik08+wb59+yRbhisGW+vWrcO8efPsyiLExsYiPDy81UWq4n4v1rIX5pvwWX5806ZNGD9+PMaPH4/Nmzc3+hqpiPsK1dbWoq6uDqWlpcjIyDDtO2T5O4mZnGXLluHtt9/G008/jRkzZiAgIAAAUFVVhZ07d+Lpp5/GjRs3Gv08W30kF+a/X3JysmzbSfInaShfVVWFfv36Yc6cOZgwYUKjz7/88sv4xz/+ge3btyMqKgorV67E6NGj8fPPP8Pf31+CFhO5l63N26RohyPZFVcfFtncxoTOOFvJFcTz0gRBwCeffAIAGDZsmKnIWpyCiomJQUJCAsrKyhpkuSoqKrBq1Sq0bdsWH3zwAX799Vf897//RXJyMs6dO4cPP/zQlKFRwp40XGpOziJpMDNmzBiMGTPG6ucEQcCrr76KZ555BuPHjwcA7NixA6Ghodi3bx+mTp1q9Xm1tbWora01PS4vL3d+w4lkSi4pe1dPgTW3MaGca23MC4evXbuGbt26mQ7jFIt8jx49CkEQsGTJkkZTfGq1GsuWLcOcOXOwfv16vPnmmxAEAWfOnEFeXh46duxo+llyCBTcsRKOSLaTrAUFBSgtLcWoUaNMHwsODsaQIUNMd1rWrFmzBs8995y7mkkKIZdB3pUMBgM2bNiAnJwc2e2c62zNbUzY0lobd/r4448b7RMUExODo0ePwsfHBzk5OSgrK7Oa5RILj1evXo3z58/jzJkziI2NxVdffYX33nsPADB16lTJ96Rx5q7URE2RbTBTWloKAAgNDW3w8dDQUNPnrFm+fDmWLFlielxeXo7IyEjXNJJkpbnDHV2Zbnd3wam1n79x40Zs3boVPj4+ANy3c64UgaI9GxPKYXrOFluZpYSEBAiC0ODE+qayXL6+vvjwww9RUFCAoKCgBkvZjx07ho0bN2Lq1KmSBQrNTSN5w00GuYdsg5mW8vPzg5+fn9TNIDez53BHV6XbjUYjNm/ejF27dkEQBMTFxbl8W3tLer0e2dnZ8PHxQV1dHWJiYtxyJ97SQNEZg5gSDyEV2cosaTQaLF26tFHfNNVfGo0G3bt3h9FoxLBhw5Cfnw+gvhZH6qxUUxk0JdT0kHLINpgJCwsDAFy6dAnh4eGmj1+6dAn9+/eXqFUkV/Ye7hgbG+vQsQHNMRqNyMvLQ1paGoqKilBVVYUtW7ZArVYjMTHRbRdnyw3nEhIS3PKzWxIochBrOrNkGaTZ219qtRoLFizA5MmTATTMEEqVAWnq92TxLzmTbIOZqKgohIWF4cCBA6bgpby8HD/88AMWLFggbeNIduw53FGn0+H9999vdGyAeKEPDg5GWVmZQydFi6tPDAYDwsLCTNvaZ2dnu/XiLFXtgXm/23u+FAexeo7sTWNvf1mbXpO6lsrW78niXw9RUwMUFwMREYCEq4wlDWYqKytx/vx50+OCggJkZWWhY8eO6NKlCxYvXowXX3wR3bt3Ny3NjoiIQFxcnHSNJlmyp4ZCrVYjKyvLNCiI+2+kpKQgJycH1dXVCAgIsPuCLw4ypaWlCAsLw7vvvov9+/fbva29s0kx7WLP+VKWLAex4OBg6HQ61k3Y0JpBX8paquaw+NcDHDgATJgAlJcDQUHAnj3AyJGSNEXSYOb48eMYMWKE6bFYuDt79mykpKTgySefRFVVFebOnYtr167hT3/6E7788kvuMUNW2RrMzTMv5lmE9957Dzt27EBhYSG0Wi0EQUDXrl2hUqnsuuBbDjLR0dF2b2vvSZo6X8rW14uDWHBwMN566y2vnnJqTmsGfalqqeyl5Lonr1dTUx/IVFTUP66oqH986ZIkGRpJg5m77roLgiDY/LxKpcLzzz+P559/3o2tIk9iWW8wd+5clJWVwWg0IiEhAaWlpairq4PBYEDfvn3RsWNHu06KBmwPMo5cnD1lNYej2QNxELM890mn05kO0lRyfzhbSwd9qWqpyAsUF9dnZESCUP+4uBi4/Xa3N0e2NTNEzmBZb1BWVmY6kVrcWA0A4uLisHjxYlRUVNh1UrRIHHhbEpB4UiGsrcCuuWDNPAjq168ftm3bhtzcXI/fJ8ddOJVDLhMRUT+1VFFRH8ioVEBgYP3HJcBghjyarYyBrY3VHDkpGmhdQOJphbAtWYVjXnOzbds2bNu2TXa1HUrnzKkcT8kkkhP4+9fXyIg1M4GB9Y8lKgNhMEMerbklsLY2VrN32sSRgMRyIPD0Qlh7+0asucnNzZVtbQd5ViaRnGTkyPoaGW9fzUTkDi25M7U3PW9v0GNrIPDkQlhH6mhY2yF/npZJJCfx95ekRsYSgxmSHbmksu0JguwNemwNBLYKYT1hoHCkXsPa18rlfQDI5z0pJe4LQ3LGYIZkRYmpbHuCnuYGAk8dKBzJipl/rZzeB3Jqi5RYTExyxmCGZMVTU9n2bOrHgeI3cnofuONsL6W87twXhuRK3n855HXEDEV4eLhHZSiA3wYCWwNWc5/3JlK+D8QT0I1Go8vbImZ9li1bhuTkZNPPdOb3N/9diDyVSmhq1zoPUF5ebjpzJygoSOrmkB2UdKdKriPF+8DWlJKr2qLT6bBs2TKUlJQgPDwc69atc+oyasVPj8nk3B+ShiPjt8Le2eQNmKEgQJr3geWUkk6ng06nAwCXtMWVWR9r02OKcuAAEBoKdOtW/++BA1K3iGSMNTNERP/HvBA7NjYW77//PrKyslyW2TDfNNDZFF1ULrNzf0j+GMwQkd08fQrQvBDbaDRi+fLlbilC/vDDD50+HSRFUbnT3h8yO/eH5I/BDBHZxSNqMOwgTm8ZjUa3ZDZctVrK3YGnU98fMjv3h+SPwQwR2UVOy6VF4oAtFgk6c+B2V2bDFdNBUgSeTn1/yOzcH5I/BjNEZBe51WCIA/aJEydQVVWFgIAAp5+27Y59VVwRNEkReDr9rDEZnftD8sdghojsIreN/cQBu6ioCEVFRejSpQtUKpUsMkaAY9M8zg6apAg8XXLWmEzO/SH5YzBDRHaT0w6w4oAtCAJCQkIQEBCA2NhYGI1GGI1GSYMtqeuLpAo8PfmsMZI3BjNEpEiWmQC9Xo/3338fy5cvl7xAWQ71RVIGnnKbkiTPx2CGiBTB2rSN+YCtVquRlZXVKIAQt/QHXLPxnTXePpjLbUqSPB+DGfJYnr4nijcQX8PAwEC89tpryM7Otlnkay2AMBgMWL9+Pfbv3w8AmD59OhYsWODy9wMHc3lNSZLnYzBDHknqmgVqPYPBgI0bN+Ls2bPQ6/U4c+YMfH19AcDqtI1lAAEAGzduxNtvvw2dTof27dsjPT0dU6dOdcsgy8GcyH0YzJBHkkPNArWc0WjEhg0bsHXrVqjVahgMBrRp0wZ1dXWIiYmxOW1jHkDodDpkZ2fDz88PPj4+CA8Px/Dhw10+5cOMIJH7MZghj+TtNQtKp9frkZOTAx8fH9y4cQO///3vodVq0bNnTyQkJNgVJGi1WgwcOBAA0KNHD8THx6NTp04uDTDM975x188kIkAlCIIgdSNcyZEjxMmz8A5ZucyDgpiYGCxatAgVFRUOv5bufg/odDo8+eSTyMjIwJUrV9ClSxdMmjQJiYmJ0Gh470jkCEfGb/51kcdizYJyWSugbclr6e73gFarRUxMDA4dOoQbN27g/Pnz2LJlC9RqNRITExlUE7kI/7KImiEu7TUajVI3xauIgYiSAgC1Wo2EhAQ8+uijuOOOO+Dn5wd/f39kZ2dDr9e7rR18z5K3YWaGqAmW0x0JCQmcLqAmaTQaJCUlIT4+HikpKcjNzcWgQYPcVrfFlXzkjXhVJmqCXq/HiRMn8MMPP+Do0aMQBAFLly7l4EBNUqvVCA0NRVJSktvrtriSj7wRr8hETRBrIOrq6uDj44OcnBy3TheQskkxVSau5AsPD+dKPvIazMwQNUGsgRAEATk5OW6dLiBqCW/ffZirGL0Tl2YT2YEXSCL5Y72QZ3Fk/OarTGQHJa6sIfI21uqFyDvwykxERB6B9ULeizUzRETkEby9XsibMZghIiKPwZ2/vRPDViIiIlI0BjNERESkaAxmiIiISNEYzBAREZGiyTqYuXnzJlauXImoqCi0bdsW3bp1wwsvvAAP3+ePiIiIHCDr1Uzr1q3D5s2bsX37dvTu3RvHjx/HQw89hODgYDzxxBNSN4+IpFBTAxQXAxERgL+/1K0hIhmQdTCTlpaG8ePHY+zYsQCA2267Dbt378axY8dsPqe2tha1tbWmx+Xl5S5vJxG5yYEDwIQJQHk5EBQE7NkDjBwpdauISGKynmYaPnw4Dhw4gNzcXADAqVOncPToUYwZM8bmc9asWYPg4GDTf5GRke5qLhG5Uk1NfSBTUVH/uKKi/nFNjbTtIiLJyfqgSaPRiKeffhovv/wy2rRpg5s3b2L16tVYvny5zedYy8xERkbyoEkipcvPB7p1a/zxvDzg9tvd3x4icilHDpqU9TTTBx98gF27diE1NRW9e/dGVlYWFi9ejIiICMyePdvqc/z8/ODn5+fmlhKRy0VE1E8tVVQAggCoVEBgYP3HiciryTqYSUpKwlNPPYWpU6cCAPr06YPCwkKsWbPGZjBDRB7K37++RkasmQkMrH/MImAiryfrYKa6urrRQWFt2rSB0WiUqEVEJKmRI4FLl7iaiYgakHUwM27cOKxevRpdunRB7969cfLkSWzYsAFz5syRumlEJBV/f9bIEFEDsi4ArqiowMqVK7F3715cvnwZERERmDZtGlatWgVfX1+7vocjBUREREQkD46M37IOZpyBwQwREZHyODJ+y3qfGSIiIqLmMJghIiIiRWMwQ0RERIrGYIaIiIgUjcEMeZaamvpt73leDxGR12Aw4wJGoxE6nY6b+7nbgQNAaGj9+T2hofWPiYjI48l60zwlMhqNSE5ORmZmJmJjYzF//vxGuxiTC9g6UfnSJe4SS0Tk4TjKOpler0dmZiZKSkqQmZkJvV4vdZO8Q3Fx/Xk94rZJglD/uLhY2nYRyQizxtJgv7seMzNOptVqERsbi8zMTAwcOBBarVbqJnkHnqhM1CRmjaXBfncPBjNOplarMX/+fOj1emi1Wr5p3YUnKhM1yVrWOCQkROpmeTz2u3twpG0la+lDtVqNkJAQBjLuJp6onJdX/+/IkVK3iEg2xKxxeHg4s8Zu1Jp+5/SU/Xg2UysYjUZs2rQJGRkZGDp0KBYuXMgAhohky2g0tihr3NLnUb2W9B+npxwbvznN1Ao6nQ6pqakoKipCTk4OJk2ahNDQUKmbRURklZg1dgQH1dZrSb9zesoxfEe2kiAIqKqqQlFREVJSUpgOJCKPwhWa0uC0oGOYmWmFkJAQxMXFYcuWLfD390dubi6jZyLyKFyhKQ0uJnEMg5lWUKvVSExMhEqlQk5ODgYNGsQ/dCLyKBxUpdOS6SlvxQJgJ2BxHBERkXOxANjNGD0TERFJh2kEIiIiUjQGM0RERKRoDGaIiIhI0RjMEBERkaIxmCEiIiJFYzBDREREisZghoiIiBSNwQwREREpGoMZIiIiUjQGM0RERKRoDGaIiIhI0RjMEBERkaIxmCEiIiJFYzBDREREisZgxkMYjUbodDoYjUapm0JERORWGqkbQK1nNBqRnJyMzMxMxMbGYv78+VCrGacSEZF34IjnAfR6PTIzM1FSUoLMzEzo9Xqpm0REROQ2DGY8gFarRWxsLMLDwzFw4EBotVqpm0REROQ2nGbyAGq1GvPnz4der4dWq+UUExEReRUGMx5CrVYjJCRE6mYQERG5HW/hiYioWVwxSXIm+2Dm4sWLmDFjBkJCQtC2bVv06dMHx48fl7pZREReQ1wxuWzZMiQnJzOgIdmR9TSTXq/HH//4R4wYMQJffPEFOnXqhHPnzrHAlYjIjaytmOS0NsmJrIOZdevWITIyEu+8847pY1FRUU0+p7a2FrW1tabH5eXlLmsfEZE3EFdMZmZmcsUkyZJKEARB6kbY0qtXL4wePRq//vorDh06hN/97ndYuHAhHn30UZvPefbZZ/Hcc881+nhZWRmCgoJc2VwiIo9lNBq5YpLcqry8HMHBwXaN37IOZvz9/QEAS5YswaRJk/Djjz9i0aJFSE5OxuzZs60+x1pmJjIyksEMERGRgnhMMOPr64tBgwYhLS3N9LEnnngCP/74I9LT0+36Ho50BhEREcmDI+O3rHOF4eHh6NWrV4OP9ezZE0VFRRK1iIiIiORG1sHMH//4R+Tk5DT4WG5uLrp27SpRi4iIiEhuZB3MJCQkICMjAy+99BLOnz+P1NRUvPXWW3jsscekbhoRERHJhKyDmcGDB2Pv3r3YvXs3fv/73+OFF17Aq6++iunTp0vdNCIiIpIJWRcAOwMLgImIiJTHYwqAiYiIiJrDYIaIiIgUjcEMERERKRqDGSIiIlI0BjNERESkaAxmiIiISNEYzBAREZGiMZghIiIiRWMwQ0RERIrGYIaIiIgUjcEMERERKRqDGSIiIlI0BjNKVFMD5OfX/0tEROTlGMwozYEDQGgo0K1b/b8HDkjdIiKihnjDRW7GYEZJamqACROAior6xxUV9Y95wSAiueANF0mAwYySFBcD5eWAINQ/FoT6x8XF0raLiAjgDRdJhsGMkkREAEFBgEpV/1ilqn8cESFtu4iIAN5wkWQYzCiJvz+wZw8QGFj/ODCw/rG/v7TtIiICeMNFkmEwozQjRwKXLgF5efX/jhwpdYuIiOrxhoskopG6AdQC/v7A7bdL3QoiosbEG67i4vqMDAMZcgMGM0RE5Fy84SI34zQTERERKRqDGSIiIlI0BjNERESkaAxmiIiISNEYzBAREZGiMZghIiIiRWMwQ0RERIrGYIaIiIgUjcEMERERKRqDGSIiIlI0BjNERESkaB5/NpMgCACA8vJyiVtCRERE9hLHbXEcb4rHBzMVFRUAgMjISIlbQkRERI6qqKhAcHBwk1+jEuwJeRTMaDSiuLgYgYGBUKlUTX5teXk5IiMjceHCBQQFBbmphZ6L/el87FPnY586H/vU+byxTwVBQEVFBSIiIqBWN10V4/GZGbVajc6dOzv0nKCgIK95s7gD+9P52KfOxz51Pvap83lbnzaXkRGxAJiIiIgUjcEMERERKRqDGTN+fn74f//v/8HPz0/qpngE9qfzsU+dj33qfOxT52OfNs3jC4CJiIjIszEzQ0RERIrGYIaIiIgUjcEMERERKRqDGSIiIlI0rw9mbt68iZUrVyIqKgpt27ZFt27d8MILL9h1FgTVO3z4MMaNG4eIiAioVCrs27evwecFQcCqVasQHh6Otm3bYtSoUTh37pw0jVWIpvq0rq4Oy5YtQ58+fRAQEICIiAjMmjULxcXF0jVYAZp7n5qbP38+VCoVXn31Vbe1T4ns6dOzZ8/ivvvuQ3BwMAICAjB48GAUFRW5v7EK0Fx/VlZW4vHHH0fnzp3Rtm1b9OrVC8nJydI0Vma8PphZt24dNm/ejNdffx1nz57FunXr8PLLL+Of//yn1E1TjKqqKvTr1w9vvPGG1c+//PLL+Mc//oHk5GT88MMPCAgIwOjRo1FTU+PmlipHU31aXV2NzMxMrFy5EpmZmdizZw9ycnJw3333SdBS5WjufSrau3cvMjIyEBER4aaWKVdzfZqXl4c//elPiImJwcGDB3H69GmsXLkS/v7+bm6pMjTXn0uWLMGXX36JnTt34uzZs1i8eDEef/xx7N+/380tlSHBy40dO1aYM2dOg49NmDBBmD59ukQtUjYAwt69e02PjUajEBYWJvz97383fezatWuCn5+fsHv3bglaqDyWfWrNsWPHBABCYWGhexqlcLb69NdffxV+97vfCf/5z3+Erl27Chs3bnR725TKWp9OmTJFmDFjhjQNUjhr/dm7d2/h+eefb/Cx2NhYYcWKFW5smTx5fWZm+PDhOHDgAHJzcwEAp06dwtGjRzFmzBiJW+YZCgoKUFpailGjRpk+FhwcjCFDhiA9PV3ClnmWsrIyqFQqdOjQQeqmKJbRaMTMmTORlJSE3r17S90cxTMajfj888/Ro0cPjB49GrfeeiuGDBnS5PQeNW348OHYv38/Ll68CEEQ8N133yE3Nxd//etfpW6a5Lw+mHnqqacwdepUxMTEwMfHBwMGDMDixYsxffp0qZvmEUpLSwEAoaGhDT4eGhpq+hy1Tk1NDZYtW4Zp06Z51QF0zrZu3TpoNBo88cQTUjfFI1y+fBmVlZVYu3Yt7rnnHnz99de4//77MWHCBBw6dEjq5inSP//5T/Tq1QudO3eGr68v7rnnHrzxxhv485//LHXTJOfxp2Y354MPPsCuXbuQmpqK3r17IysrC4sXL0ZERARmz54tdfOImlRXV4fJkydDEARs3rxZ6uYo1okTJ/Daa68hMzMTKpVK6uZ4BKPRCAAYP348EhISAAD9+/dHWloakpOTceedd0rZPEX65z//iYyMDOzfvx9du3bF4cOH8dhjjyEiIqJB9tsbeX0wk5SUZMrOAECfPn1QWFiINWvWMJhxgrCwMADApUuXEB4ebvr4pUuX0L9/f4la5RnEQKawsBDffvstszKtcOTIEVy+fBldunQxfezmzZtITEzEq6++il9++UW6xinULbfcAo1Gg169ejX4eM+ePXH06FGJWqVc169fx9NPP429e/di7NixAIC+ffsiKysL69ev9/pgxuunmaqrq6FWN+yGNm3amO4qqHWioqIQFhaGAwcOmD5WXl6OH374AcOGDZOwZcomBjLnzp3Dv//9b4SEhEjdJEWbOXMmTp8+jaysLNN/ERERSEpKwldffSV18xTJ19cXgwcPRk5OToOP5+bmomvXrhK1Srnq6upQV1fH8coGr8/MjBs3DqtXr0aXLl3Qu3dvnDx5Ehs2bMCcOXOkbppiVFZW4vz586bHBQUFyMrKQseOHdGlSxcsXrwYL774Irp3746oqCisXLkSERERiIuLk67RMtdUn4aHh2PixInIzMzEZ599hps3b5rqjzp27AhfX1+pmi1rzb1PLQNCHx8fhIWFITo62t1NVYzm+jQpKQlTpkzBn//8Z4wYMQJffvklPv30Uxw8eFC6RstYc/155513IikpCW3btkXXrl1x6NAh7NixAxs2bJCw1TIh9XIqqZWXlwuLFi0SunTpIvj7+wu33367sGLFCqG2tlbqpinGd999JwBo9N/s2bMFQahfnr1y5UohNDRU8PPzE0aOHCnk5ORI22iZa6pPCwoKrH4OgPDdd99J3XTZau59aolLs5tnT59u3bpVuOOOOwR/f3+hX79+wr59+6RrsMw1158lJSVCfHy8EBERIfj7+wvR0dHCK6+8IhiNRmkbLgMqQeBWt0RERKRcXl8zQ0RERMrGYIaIiIgUjcEMERERKRqDGSIiIlI0BjNERESkaAxmiIiISNEYzBAREZGiMZghIiIiRWMwQ0RERIrGYIaIFOXmzZsYPnw4JkyY0ODjZWVliIyMxIoVKyRqGRFJhccZEJHi5Obmon///tiyZQumT58OAJg1axZOnTqFH3/8kYdtEnkZBjNEpEj/+Mc/8Oyzz+LMmTM4duwYJk2ahB9//BH9+vWTumlE5GYMZohIkQRBwN133402bdrgp59+wt/+9jc888wzUjeLiCTAYIaIFCs7Oxs9e/ZEnz59kJmZCY1GI3WTiEgCLAAmIsXatm0b2rVrh4KCAvz6669SN4eIJMLMDBEpUlpaGu688058/fXXePHFFwEA//73v6FSqSRuGRG5GzMzRKQ41dXViI+Px4IFCzBixAhs3boVx44dQ3JystRNIyIJMDNDRIqzaNEi/Otf/8KpU6fQrl07AMCbb76JpUuX4qeffsJtt90mbQOJyK0YzBCRohw6dAgjR47EwYMH8ac//anB50aPHg2DwcDpJiIvw2CGiIiIFI01M0RERKRoDGaIiIhI0RjMEBERkaIxmCEiIiJFYzBDREREisZghoiIiBSNwQwREREpGoMZIiIiUjQGM0RERKRoDGaIiIhI0RjMEBERkaL9f8ZZWokbJi+CAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ax = death_df.plot(x='X', y='Y', s=2, c='black', alpha=0.5, kind='scatter', label='Deaths')\n", "pump_df.plot(x='X', y='Y', kind='scatter', c='red', s=8, label='Pumps', ax=ax)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "OZN7reANV_4A" }, "source": [ "Although simply invoking the `plot()` command is quick and easy when doing an exploratory data analysis, it is usually better to be formal about figure and axes objects. \n", "\n", "Here is the recommended way to create a plot. Call the `subplots()` method (see https://matplotlib.org/3.2.1/api/_as_gen/matplotlib.pyplot.subplots.html) to get the figure and axes objects explicitly. \n", "\n", "As you can see below, `subplots()` creates an empty figure and returns the figure and axes object to you. Then you can fill this empty canvas with your plots. Whatever manipulation you want to make about your figure (e.g., changing the size of the figure) or axes (e.g., drawing a new plot on it) can be done with `fig` and `ax` objects. So whenever possible, use this method! \n", "\n", "**Now, can you use this method to produce the same plot just above?**" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 467 }, "executionInfo": { "elapsed": 315, "status": "ok", "timestamp": 1684852751966, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "1eIf1U3-V_4A", "outputId": "1a9363ac-7d15-4f30-f362-e01cd35502bd" }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "fig, ax = plt.subplots()\n", "\n", "# YOUR SOLUTION HERE" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "6D35-mOsV_4B" }, "source": [ "## Voronoi diagram\n", "\n", "Let's try the Voronoi diagram. You can use the `scipy.spatial.Voronoi` and `scipy.spatial.voronoi_plot_2d` from `scipy`, the *scientific python* library. " ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "executionInfo": { "elapsed": 3, "status": "ok", "timestamp": 1684852753406, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "KhTMAkUXV_4B" }, "outputs": [], "source": [ "from scipy.spatial import Voronoi, voronoi_plot_2d" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "Lh3AfTGYV_4B" }, "source": [ "Take a look at the documentation of [Voronoi](https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.spatial.Voronoi.html#scipy.spatial.Voronoi) and [voronoi_plot_2d](https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.spatial.voronoi_plot_2d.html) and \n", "\n", "**Q3: produce a Voronoi diagram that shows the deaths, pumps, and voronoi cells**" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 7, "status": "ok", "timestamp": 1684852753582, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "wXwXlUiKV_4B", "outputId": "d8cc013e-949e-4198-c119-9e676ae063e7" }, "outputs": [ { "data": { "text/plain": [ "array([[ 8.6512012, 17.8915997],\n", " [10.9847803, 18.5178509],\n", " [13.37819 , 17.3945408],\n", " [14.8798304, 17.8099194],\n", " [ 8.694768 , 14.9054699],\n", " [ 8.8644161, 12.75354 ],\n", " [12.5713596, 11.72717 ],\n", " [10.6609697, 7.428647 ],\n", " [13.5214596, 7.95825 ],\n", " [16.4348907, 9.2521296],\n", " [18.9143906, 9.7378187],\n", " [16.0051098, 5.0468378],\n", " [ 8.9994402, 5.1010232]])" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# you'll need this\n", "points = pump_df.values\n", "points" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 449 }, "executionInfo": { "elapsed": 391, "status": "ok", "timestamp": 1684852753968, "user": { "displayName": "Vincent Wong", "userId": "06927694896148305320" }, "user_tz": 240 }, "id": "M4rrcm6wV_4C", "outputId": "6c6b6302-a9c9-41c5-c5a3-bac6365448ba" }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# YOUR SOLUTION HERE" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "aLkNmyE2V_4C" }, "source": [ "## Saving the figure\n", "\n", "You can also save your figure into PDF, PNG, etc. If you run the following, the plot will not only be displayed here, but also be saved as `foo.png`. " ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 265 }, "id": "JzE4wyLFV_4C", "outputId": "c4d642c4-09b9-4ee4-8893-9db9c0c6b495" }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "plt.plot([1,2,3], [4,2,3])\n", "plt.savefig('foo.png')" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "MLPpKe0lV_4C" }, "source": [ "**Q4: Save your Voronoi diagram. Make sure that your plot contains the scatterplot of deaths & pumps as well as the Voronoi cells**" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 279 }, "id": "2Oc8emUJV_4D", "outputId": "6e550809-4c78-48f1-9998-c5193236d000" }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# YOUR SOLUTION HERE" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "R2pVtuNAV_4D" }, "source": [ "Ok, that was a brief introduction to `pandas` and some simple visualizations. Now let's talk about web a little bit. " ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "3KVCBVJ7V_4D" }, "source": [ "## HTML & CSS Basics\n", "\n", "### HTML review\n", "\n", "Webpages are written in a standard markup language called HTML (HyperText Markup Language). The basic syntax of HTML consists of elements enclosed within `<` and `>` symbols. Markup tags often come in a pair, the opening tag without `/` and the closing tag with `/`. For instance, when we assign the title of the webpage, we write `This is the title of the page`. You can find tutorials and references from many websites, including [W3Schools](https://www.w3schools.com/). Here is an example of a simple HTML document (from w3schools homepage):\n", "\n", "```html\n", "\n", "\n", "HTML Tutorial\n", "\n", "\n", "

This is a heading

\n", "

This is a paragraph.

\n", "\n", "\n", "\n", "```\n", "\n", "Here is a list of important tags and their descriptions.\n", "\n", "- `` - Surrounds the entire document.\n", "\n", "- `` - Contains information about the document. E.g. the title, metadata, scripts to load, stylesheets, etc.\n", "\n", "- `` - Assigns title to the page. This is what you see in the tab and what you have when the page is bookmarked. \n", "\n", "- `<body>` - The main part of the document.\n", "\n", "- `<h1>`, `<h2>`, `<h3>`, ... - Headings (Smaller the number, larger the size).\n", "\n", "- `<p>` - Paragraph. e.g., `<p>Here is a paragraph</p>`\n", "\n", "- `<br>` - Line break.\n", "\n", "- `<em>` - emphasize text.\n", "\n", "- `<strong>` - Bold font.\n", "\n", "- `<a>` - Defines a hyperlink and allows you to link out to the other webpages. See [examples](https://www.w3schools.com/html/html_links.asp)\n", "\n", "- `<img>` - Place an image. See [examples](https://www.w3schools.com/html/html_images.asp)\n", "\n", "- `<ul>`, `<ol>`, `<li>` - Unordered lists with bullets, ordered lists with numbers and each item in list respectively. See [examples](https://www.w3schools.com/html/html_lists.asp)\n", "\n", "- `<table>` - Make a table, specifying contents of each cell. See [examples](https://www.w3schools.com/html/html_tables.asp)\n", "\n", "- `<!-->` - Comments – will not be displayed.\n", "\n", "- `<span>` - This will mark a certain part of text but will not necessarily change how they look. CSS or Javascript can access them and change how they look or behave. \n", "\n", "- `<div>` - Similar to `<span>`, but used for a block that contains many elements. \n", "\n", "### CSS review\n", "\n", "While HTML specifies the content and structure, it does not say how they should _look_. \n", "\n", "CSS (Cascading Style Sheets) is the primary language that is used for the look and formatting of a web document. In the context of creating visualization, CSS becomes critical when you create web-based (Javascript-based) visualizations.\n", "\n", "A CSS stylesheet consists of one or more selectors, properties and values. For example:\n", "\n", "```css\n", "body { \n", " background-color: white; \n", " color: steelblue; \n", "}\n", "```\n", "\t\n", "Selectors are the HTML elements to which the specific styles (combination of properties and values) will be applied. In the above example, all text within the `body` tags will be in steelblue.\n", "\n", "There are three ways to include CSS code in HTML. This is called \"referencing\".\n", "\n", "Embed CSS in HTML - You can place the CSS code within `style` tags inside the `head` tags. This way you can keep everything within a single HTML file but does make the code lengthy.\n", "\n", "```html\n", "<head> \t\t\t\n", " <style type=\"text/css\">\n", " .description {\n", " font: 16px times-new-roman;\n", " }\n", " .viz {\n", " font: 10px sans-serif;\n", " } \n", " </style>\n", "</head>\n", "```\n", "Reference an external stylesheet from HTML is a much cleaner way but results in the creation of another file. To do this, you can copy the CSS code into a text file and save it as a `.css` file in the same folder as the HTML file. In the document head in the HTML code, you can then do the following:\n", "\n", "```html\n", "<head>\n", " <link rel=\"stylesheet\" href=\"main.css\">\n", "</head>\n", "```\n", "\t\n", "Attach inline styles - You can also directly attach the styles in-line along with the main HTML code in the body. This makes it easy to customize specific elements but makes the code very messy, because the design and content get mixed up.\n", "\n", "```html\n", "<p style=\"color: green; font-size:36px; font-weight:bold;\">Inline styles can be handy sometimes.</p>\n", "```" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "waBq0KT7V_4E" }, "source": [ "**Q5: Create a simple HTML page that displays the Voronoi diagram that you saved. Feel free to add more plots, explanations, and any styles. Make sure to check you can run the Python webserver and open the HTML file that you created.**\n", "\n", "Btw, you can also export Jupyter notebook into various formats. Click `File -> Export Notebook As` and play with it. " ] }, { "attachments": {}, "cell_type": "markdown", "metadata": { "id": "C5xMCDKLV_4E" }, "source": [ "## Now submit your work\n", "\n", "Export your notebook to HTML (`lab02_notebook_lastname_firstname.html`). Then also rename your `HTML` (CSS) files from HTML/CSS exercise in the format of `lab02_lastname_firstname`. Upload these files to Canvas. " ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "lJvvZ1YIV_4E" }, "outputs": [], "source": [] } ], "metadata": { "anaconda-cloud": {}, "colab": { "collapsed_sections": [ "C5xMCDKLV_4E" ], "provenance": [] }, "kernel_info": { "name": "dviz" }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.2" }, "nteract": { "version": "0.23.1" } }, "nbformat": 4, "nbformat_minor": 0 }